Search Results

Review on building energy model calibration by Bayesian inference,
D. Hou, I.G. Hassan and L. Wang, in Renewable and Sustainable Energy Reviews (2021)
Keywords: Bayesian; Uncertainty; Calibration; Stochastic modeling; Building energy; Markov Chain Monte Carlo;

Bayesian Demand Calibration for Dynamic Traffic Simulations,
Gunnar Flötteröd, Michel Bierlaire and Kai Nagel, in Transportation Science (2011)
Keywords: disaggregate demand calibration, dynamic traffic assignment, microsimulation, path flow estimation, Bayesian estimation

Optimal Bayesian Adaptive Design for Test-Item Calibration,
Wim Linden and Hao Ren, in Psychometrika (2015)
Keywords: adaptive testing, Bayesian optimality, item calibration, item response models, optimal design,

Bayesian nonparametric calibration and combination of predictive distributions,
Federico Bassetti, Roberto Casarin and Francesco Ravazzolo, from Norges Bank (2015)
Keywords: Forecast calibration, Forecast combination, Density forecast, Beta mixtures, Bayesian nonparametrics, Slice sampling.

Bayesian Nonparametric Calibration and Combination of Predictive Distributions,
Roberto Casarin, Federico Bassetti and Francesco Ravazzolo, from Department of Economics, University of Venice "Ca' Foscari" (2015)
Keywords: Forecast calibration, Forecast combination, Density forecast, Beta mixtures, Bayesian nonparametrics, Slice sampling.

Kinematic calibration of industrial robot using Bayesian modeling framework,
Dequan Zhang, Hongyi Liang, Xing-ao Li, Xinyu Jia and Fang Wang, in Reliability Engineering and System Safety (2025)
Keywords: Industrial robot; Bayesian estimation; Kinematic calibration; Model selection; Uncertainty propagation;

Bayesian inference of multi-stage reliability for degradation systems with calibrations,
Dejing Kong and Lirong Cui, in Journal of Risk and Reliability (2016)
Keywords: Multi-stage; reliability assessment; degradation; Bayesian inference; calibration; variance

An efficient Bayesian experimental calibration of dynamic thermal models,
L. Raillon and C. Ghiaus, in Energy (2018)
Keywords: Bayesian calibration; Model selection and validation; Dynamic thermal models; Real house experiment; Improved metropolis-Hastings algorithm; Robust gradient and Hessian computation;

Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models,
Carlos Pineda-Antunez, Claudia Seguin, Luuk A. van Duuren, Amy B. Knudsen, Barak Davidi, Pedro Nascimento de Lima, Carolyn Rutter, Karen M. Kuntz, Iris Lansdorp-Vogelaar, Nicholson Collier, Jonathan Ozik and Fernando Alarid-Escudero, in Medical Decision Making (2024)
Keywords: artificial neural networks; Bayesian calibration; colorectal cancer model; emulator; machine learning

Influences of energy data on Bayesian calibration of building energy model,
Hyunwoo Lim and Zhai, Zhiqiang (John), in Applied Energy (2018)
Keywords: Building energy model; Bayesian calibration; Utility data; Informative energy data; Sensitivity analysis;

Sequential Monte-Carlo algorithms for Bayesian model calibration – A review and method comparison✰,
Matthias Speich, Carsten F. Dormann and Florian Hartig, in Ecological Modelling (2021)
Keywords: Bayesian inference; Sequential Monte-Carlo (SMC); Mechanistic models; Model calibration; Particle filters; Equifinality;

Hierarchical Bayesian support vector regression with model parameter calibration for reliability modeling and prediction,
Shen Haoyuan, Ma Yizhong, Lin Chenglong, Zhou Jian and Liu Lijun, in Reliability Engineering and System Safety (2023)
Keywords: Bayesian inference; Hierarchical Bayesian; Support vector regression; Reliability modeling; Parameter calibration;

Bayesian calibration and number of jump components in electricity spot price models,
Jhonny Gonzalez, John Moriarty and Jan Palczewski, in Energy Economics (2017)
Keywords: Multi-factor models; Bayesian calibration; Markov Chain Monte Carlo; Ornstein-Uhlenbeck process; Electricity spot price; Negative jumps;

Data-Driven Calibration of Rough Heat Transfer Prediction Using Bayesian Inversion and Genetic Algorithm,
Kevin Ignatowicz, Elie Solaï, François Morency and Héloïse Beaugendre, in Energies (2022)
Keywords: Bayesian inversion; genetic algorithm; data-driven analysis; calibration; rough heat transfers; computational fluid dynamics

District Heating Network Demand Prediction Using a Physics-Based Energy Model with a Bayesian Approach for Parameter Calibration,
Si Chen, Daniel Friedrich, Zhibin Yu and James Yu, in Energies (2019)
Keywords: heat demand prediction; parameter calibration; district heating network; Bayesian history matching

Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms,
Chuanqi Zhu, Wei Tian, Baoquan Yin, Zhanyong Li and Jiaxin Shi, in Applied Energy (2020)
Keywords: Approximate Bayesian computation; Building energy; Model calibration; Machine learning; Sensitivity analysis;

Bayesian calibration of building energy models for uncertainty analysis through test cells monitoring,
Carmen María Calama-González, Phil Symonds, Giorgos Petrou, Rafael Suárez and Ángel Luis León-Rodríguez, in Applied Energy (2021)
Keywords: Bayesian calibration; Sensitivity analysis; Uncertainty analysis; Building energy modelling; Mediterranean climate; Housing stock;

Eutrophication risk assessment using Bayesian calibration of process-based models: Application to a mesotrophic lake,
George B. Arhonditsis, Song S. Qian, Craig A. Stow, E. Conrad Lamon and Kenneth H. Reckhow, in Ecological Modelling (2007)
Keywords: Mechanistic models; Bayesian calibration; Environmental management; Risk assessment; Adaptive management implementation; Plankton dynamics; Eutrophication;

Credit Shocks and Cycles: a Bayesian Calibration Approach,
Roland Meeks, from Economics Group, Nuffield College, University of Oxford (2006)
Keywords: agency costs, credit cycles, calibration, shocks.

Methods for Model Calibration under High Uncertainty: Modeling Cholera in Bangladesh,
Theresa Ryckman, Stephen Luby, Douglas K. Owens, Eran Bendavid and Jeremy D. Goldhaber-Fiebert, in Medical Decision Making (2020)
Keywords: Bayesian calibration; calibration; cholera; decision-analytic models; estimation

Bayesian semi-individual based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns populations on the Great Barrier Reef,
C.C.-M. Chen, C.C. Drovandi, J.M. Keith, K. Anthony, M.J. Caley and K.L. Mengersen, in Ecological Modelling (2017)
Keywords: Model calibration; Individual uncertainty; Parameters uncertainty; Individual agent; Approximate Bayesian computation; Replenishment sequential Monte-Carlo: ABC; Crown-of-Thorns Starfish;

Bayesian Calibration with Augmented Stochastic State-Space Models of District-Heated Multifamily Buildings,
Lukas Lundström and Jan Akander, in Energies (2019)
Keywords: building energy performance; energy models; Bayesian calibration; augmented stochastic state-space modeling; Iterated Extended Kalman Filtering; uncertainty

Novel model calibration method via non-probabilistic interval characterization and Bayesian theory,
Chong Wang and Hermann G. Matthies, in Reliability Engineering and System Safety (2019)
Keywords: Model calibration; Non-probabilistic interval characterization; Bayesian theory; Kennedy and O'Hagan model; Unbiased interval quantification; Interval sampling method;

Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest,
Maurizio Bagnara, Marcel Van Oijen, David Cameron, Damiano Gianelle, Federico Magnani and Matteo Sottocornola, in Ecological Modelling (2018)
Keywords: Forest model; Prelued; Bayesian calibration; Markov Chain Monte Carlo; Light Use Efficiency; GPP;

Bayesian VARs and prior calibration in times of COVID-19,
Hartwig Benny, in Studies in Nonlinear Dynamics & Econometrics (2024)
Keywords: common time-varying volatility, forecasting, multivariate t errors, outlier-robust prior calibration

Bayesian VARs and prior calibration in times of COVID-19,
Benny Hartwig, from Deutsche Bundesbank (2022)
Keywords: forecasting, multivariate t errors, common time-varying volatility, outlier-robust prior calibration

Bayesian quantification of thermodynamic uncertainties in dense gas flows,
X. Merle and P. Cinnella, in Reliability Engineering and System Safety (2015)
Keywords: Bayesian calibration; Uncertainty quantification; Dense-gas flow;

Statistical calibration of computer simulations,
Katherine Campbell, in Reliability Engineering and System Safety (2006)
Keywords: Calibration; Simulation; Prediction errors; Calibrated prediction; Uncertainty analysis; Bayesian model calibration; Statistical emulation; Generalized likelihood uncertainty estimation; Regional sensitivity analysis;

Mean squared error and selection in multivariate calibration,
P. J. Brown and C. H. Spiegelman, in Statistics & Probability Letters (1991)
Keywords: Calibration

LIBOR additive model calibration to swaptions markets,
Jesús P. Colino, Francisco J. Nogales and Winfried Stute, from Universidad Carlos III de Madrid. Departamento de Estadística (2008)
Keywords: Calibration

Optimal allocation of measurements in a linear calibration process,
Tsai-Yu Lin and Chen-Tuo Liao, in Metrika: International Journal for Theoretical and Applied Statistics (2005)
Keywords: Calibration model, A-optimality criterion, measurement design, Bayesian design,

A comparison of economic agent-based model calibration methods,
Donovan Platt, in Journal of Economic Dynamics and Control (2020)
Keywords: Agent-based modelling; Calibration; Simulated minimum distance; Bayesian estimation;

Role of calibration, validation, and relevance in multi-level uncertainty integration,
Chenzhao Li and Sankaran Mahadevan, in Reliability Engineering and System Safety (2016)
Keywords: Calibration; Validation; Uncertainty; Bayesian; Model reliability metric; Sobol indices;

Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems,
Shankar Sankararaman and Sankaran Mahadevan, in Reliability Engineering and System Safety (2015)
Keywords: Multi-level system; Uncertainty quantification; Bayesian network; Calibration; Validation; Verification;

Continuous Online Item Calibration: Parameter Recovery and Item Utilization,
Hao Ren, Wim J. van der Linden and Qi Diao, in Psychometrika (2017)
Keywords: adaptive testing, Bayesian optimal design, D-optimality, item calibration

A simultaneous calibration and parameter ranking method for building energy models,
Jun Yuan, Victor Nian, Bin Su and Qun Meng, in Applied Energy (2017)
Keywords: Building energy model; Retrofit; Model calibration; Bayesian; Parameter ranking; Metamodel;

Calibration,
Ingo Beyna, from Springer (2013)
Keywords: Implied Volatility, Price Formula, Simulated Annealing Method, Calibration Problem, Annealing Schedule

Calibration of the Kirindi Oya RBMC mathematical flow simulation model: description of the field measurement campaign and preliminary results,
H. Author-Name 2: Berthery, D. A2 1: Berthery A2 2: D. Author-Name 3: Certain, F. A3 1: Certain A3 2: F. Author-Name 4: Durbec, A. A4 1: Durbec A4 2: A. Sally, from International Water Management Institute (1989)
Keywords: Calibrations

A COMPARISON BETWEEN CALIBRATION AND BAYESIAN APPROACH ON A REAL BUSINESS CYCLE MODEL,
Petre Caraiani, in Theoretical and Applied Economics (2007)
Keywords: estimation methods; Bayesian methods; business cycles.

Bayesian model updating with summarized statistical and reliability data,
Eric VanDerHorn and Sankaran Mahadevan, in Reliability Engineering and System Safety (2018)
Keywords: Reliability; Calibration; Summary statistics; Sufficient statistics; Bayesian network;

A Bayesian estimation of exponential Lévy models for implied volatility smile,
Seungho Yang and Gabjin Oh, in Physica A: Statistical Mechanics and its Applications (2020)
Keywords: Exponential Lévy models; Bayesian estimation method; Model calibration;

Bayesian Evidence Synthesis and the quantification of uncertainty in a Monte Carlo simulation,
Ullrika Sahlin and Yf Jiang, in Journal of Risk and Reliability (2016)
Keywords: Epistemic uncertainty; Bayesian calibration; risk concept; quantitative assessment; meta-analysis

Empirical factor demands and flexible functional forms: a bayesian approach,
Matteo Manera and Bruno Sitzia, in Economic Systems Research (2005)
Keywords: Factor demands, flexible functional forms, calibration, Bayesian inference,

A sequential approach for stochastic computer model calibration and prediction,
Jun Yuan and Szu Hui Ng, in Reliability Engineering and System Safety (2013)
Keywords: Computer model calibration; Stochastic computer simulation; Guassian process model; Bayesian analysis; Parameter uncertainty; Uncertainty quantification;

Functional form selection and calibration of macroscopic fundamental diagrams,
Wenfei Ma, Yunping Huang, Xiao Jin and Renxin Zhong, in Physica A: Statistical Mechanics and its Applications (2024)
Keywords: Macroscopic fundamental diagram; Functional form selection; Mean-field variational Bayesian; Model calibration;

A Dynamic Baseline Calibration Procedure for CGE models,
Johannes Ziesmer, Ding Jin, Sneha D Thube and Christian Henning, in Computational Economics (2023)
Keywords: Dynamic baseline calibration, Model uncertainty, Bayesian approach, Metamodeling, Simulation optimization, Quantitative policy analysis

Calibration and evaluation of individual-based models using Approximate Bayesian Computation,
Elske van der Vaart, Mark A. Beaumont, Alice S.A. Johnston and Richard M. Sibly, in Ecological Modelling (2015)
Keywords: Approximate Bayesian Computation; Parameter estimation; Model selection; Individual-based models; Population dynamics;

Constraining the organic matter decay parameters in the CBM-CFS3 using Canadian National Forest Inventory data and a Bayesian inversion technique,
Oleksandra Hararuk, Cindy Shaw and Werner A. Kurz, in Ecological Modelling (2017)
Keywords: Data assimilation; NFI; Carbon cycle; Parameter calibration; Bayesian MCMC;

Do Bayesian Vector Autoregressive models improve density forecasting accuracy? The case of the Czech Republic and Romania,
Valeriu Nalban, in International Journal of Economic Sciences (2015)
Keywords: Bayesian VAR, density forecasting, forecast evaluation, calibration, sharpness

Calibration: Respice, Adspice, Prospice,
Dean Foster and Rakesh Vohra, from Northwestern University, Center for Mathematical Studies in Economics and Management Science (2011)
Keywords: calibration, prediction

Occupancy data at different spatial resolutions: Building energy performance and model calibration,
Adrian Chong, Godfried Augenbroe and Da Yan, in Applied Energy (2021)
Keywords: Occupant modeling; Building performance simulation; Building simulation; Bayesian calibration; Uncertainty analysis;

Application of MCMC–GSA model calibration method to urban runoff quality modeling,
A. Kanso, G. Chebbo and B. Tassin, in Reliability Engineering and System Safety (2006)
Keywords: Uncertainty analysis; Global sensitivity analysis; Bayesian inference; Model calibration; Urban runoff; Quality modeling;

Optimal Online Calibration Designs for Item Replenishment in Adaptive Testing,
Yinhong He and Ping Chen, in Psychometrika (2020)
Keywords: computerized adaptive testing, online calibration, locally optimal design, Bayesian optimal design, item replenishment, item bank maintenance

Estimation of Probabilities for Ordered Sets and Application to Calibration of Rating Models,
Gustavo F. Serenelli and Emiliano Delfau, from Universidad del CEMA (2023)
Keywords: Bayesian estimation, probability estimation, uninformative prior, rating calibration, low default, ordered sets, jeffreys prior.

Rating calibration,
Kateřina Myšková and David Hampel, in Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis (2012)
Keywords: linear calibration model, sovereign ratings

Bayesian updating with adaptive, uncertainty-informed subset simulations: High-fidelity updating with multiple observations,
Zeyu Wang and Abdollah Shafieezadeh, in Reliability Engineering and System Safety (2023)
Keywords: Bayesian updating; Bayesian Inference; Calibration; Reliability Analysis; Kriging; Markov Chain Monte Carlo; Subset simulation;

Bayesian Uncertainty Quantification for Functional Response,
Chunlin Ji, Xiao Guo, Yang He, Binbin Zhu, Yang Yang, Ke Deng and Ruopeng Liu, from IntechOpen
Keywords: functional response, meta model, Bayesian uncertainty quantification, model calibration, metamaterial design

Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation,
Massimiliano Manfren, Niccolò Aste and Reza Moshksar, in Applied Energy (2013)
Keywords: Model calibration; Uncertainty and sensitivity analysis; Bayesian analysis; Kernel regression; Gaussian processes;

Bayesian model comparison: Log scores and DIC,
Milovan Krnjajić and David Draper, in Statistics & Probability Letters (2014)
Keywords: Bayesian model discrimination; Calibration; Cross-validation log score; DIC; Full-sample log score; Prediction;

A Bayesian hierarchical framework for calibrating aquatic biogeochemical models,
Weitao Zhang and George B. Arhonditsis, in Ecological Modelling (2009)
Keywords: Bayesian calibration; Eutrophication; Uncertainty analysis; Aquatic biogeochemical models; Hierarchical Bayes; Mathematical modeling;

Bayesian analysis of computer code outputs: A tutorial,
O’Hagan, A., in Reliability Engineering and System Safety (2006)
Keywords: Bayesian statistics; Calibration; Dimensionality reduction; Emulator; Gaussian process; Roughness; Screening; Sensitivity analysis; Smoothness; Uncertainty analysis; Validation;

Efficient Bayesian model updating for dynamic systems,
Yushan Liu, Luyi Li and Zeming Chang, in Reliability Engineering and System Safety (2023)
Keywords: Bayesian updating; Principal component analysis (PCA); Model calibration; Kriging model; Uncertainty analysis;

A Fast and Simple Algorithm for Bayesian Adaptive Testing,
Wim J. van der Linden and Hao Ren, in Journal of Educational and Behavioral Statistics (2020)
Keywords: ability estimation; adaptive testing; Bayesian optimality; Gibbs sampler; item calibration; item response models; MCMC algorithm

Estimation of Markov Chain Transition Probabilities and Rates from Fully and Partially Observed Data: Uncertainty Propagation, Evidence Synthesis, and Model Calibration,
Nicky J. Welton and A. E. Ades, in Medical Decision Making (2005)
Keywords: rate; risk; probability; transitions; Markov models; uncertainty propagation; Bayesian MCMC; evidence synthesis; calibration

Low-cost energy meter calibration method for measurement and verification,
Herman Carstens, Xiaohua Xia and Sarma Yadavalli, in Applied Energy (2017)
Keywords: Measurement and verification; Bayesian statistics; Energy metering; Measurement uncertainty; Measurement error models; Calibration; Metrology; Machine learning; Simulation extrapolation; Errors-in-variables;

On the calibration of the 3/2 model,
Hilmar Gudmundsson and David Vyncke, in European Journal of Operational Research (2019)
Keywords: Pricing; Model calibration; 3/2 model; MCMC estimation; Optimization;

Calibration and the Aggregation of Probabilities,
Robert T. Clemen, in Management Science (1986)
Keywords: calibration, expert resolution, dependence

Consistent High-Frequency Calibration,
David Aadland and Kevin Huang, from University Library of Munich, Germany (2003)
Keywords: calibration temporal aggregation

Hierarchical Bayesian calibration of nitrous oxide (N2O) and nitrogen monoxide (NO) flux module of an agro-ecosystem model: ECOSSE,
Xi Li, Jagadeesh Yeluripati, Edward O. Jones, Yoshitaka Uchida and Ryusuke Hatano, in Ecological Modelling (2015)
Keywords: Hierarchical Bayesian; Uncertainty; Variability; Nitrous oxide; Agro-ecosystem;

Sensitivity-Informed Bayesian Inference for Home PLC Network Models with Unknown Parameters,
David S. Ching, Cosmin Safta and Thomas A. Reichardt, in Energies (2021)
Keywords: power line communications (PLC); Bayesian inference; Transitional Markov Chain Monte Carlo; channel calibration; home network

Parameter estimation for Gipps’ car following model in a Bayesian framework,
Samson Ting, Thomas Lymburn, Thomas Stemler, Yuchao Sun and Michael Small, in Physica A: Statistical Mechanics and its Applications (2024)
Keywords: Model calibration and validation; Bayesian inference; Uncertainty quantification; Adaptive Markov chain Monte Carlo;

A Shadow-Test Approach to Adaptive Item Calibration,
Wim J. van der Linden and Bingnan Jiang, in Psychometrika (2020)
Keywords: adaptive testing, Bayesian $$D_{\mathrm{s}}$$ D s -optimality, Gibbs sampling, item calibration, item response models, MCMC algorithm, shadow-test approach

Digital twin Bayesian entropy framework for corrosion fatigue life prediction and calibration of bridge suspender,
Yu He, Yafei Ma, Ke Huang, Lei Wang and Jianren Zhang, in Reliability Engineering and System Safety (2024)
Keywords: Suspender wires; Corrosion fatigue; Multi-source data; Hybrid uncertainty; Bayesian entropy;

Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach,
Xunhua Guo, Guoqing Chen, Cong Wang, Qiang Wei and Zunqiang Zhang, in INFORMS Journal on Computing (2021)
Keywords: online reviews; helpfulness prediction; social voting; Bayesian probability; iterative estimation; predictive analytics

A Bayesian Beta Markov Random Field calibration of the term structure of implied risk neutral densities,
Roberto Casarin, Fabrizio Leisen, German Molina and Enrique Ter Horst, from Department of Economics, University of Venice "Ca' Foscari" (2014)
Keywords: Bayesian inference, Beta random fields, Exchange Metropolis Hastings, Markov chain Monte Carlo, Risk neutral measure.

Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect,
Sungmin Yoon and Yuebin Yu, in Applied Energy (2018)
Keywords: Virtual in-situ sensor calibration; Building energy systems; Building sensors; Bayesian MCMC; LiBr-H2O refrigeration; System energy performance;

Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation,
Joseph B. Nagel, Rieckermann, Jörg and Bruno Sudret, in Reliability Engineering and System Safety (2020)
Keywords: Uncertainty quantification; Surrogate modeling; Polynomial chaos expansions; Principal component analysis; Dimension reduction; Sensitivity analysis; Bayesian calibration; Urban drainage simulation;

Simple models for soil CO2, CH4, and N2O fluxes calibrated using a Bayesian approach and multi-site data,
Shoji Hashimoto, Tomoaki Morishita, Tadashi Sakata, Shigehiro Ishizuka, Shinji Kaneko and Masamichi Takahashi, in Ecological Modelling (2011)
Keywords: Soil respiration; Methane uptake; Nitrous oxide emission; Model; Bayesian calibration; Japanese forest soil;

Approximate Bayesian computation to recalibrate individual-based models with population data: Illustration with a forest simulation model,
Guillaume Lagarrigues, Franck Jabot, Valentine Lafond and Benoit Courbaud, in Ecological Modelling (2015)
Keywords: Approximate Bayesian computation; Inverse modeling; Forest dynamics; Sensitivity analysis; Uneven-aged forests; Model calibration;

Approximate Bayesian computation (ABC) gives exact results under the assumption of model error,
Wilkinson Richard David, in Statistical Applications in Genetics and Molecular Biology (2013)
Keywords: Approximate Bayesian computation, calibration, likelihood-free inference, implicit inference, Monte Carlo

Calibration Results for Incomplete Preferences,
Zvi Safra and Uzi Segal, in Revue économique (2020)
Keywords: calibration, incomplete preferences, risk aversion

Executive compensation: a calibration approach,
Ivilina Popova and Joseph Haubrich, in Economic Theory (1998)
Keywords: Calibration · Executive compensation · Principal-agent.

Post-Stratification and Calibration - A Synthesis,
Li-Chun Zhang, from Statistics Norway, Research Department (1998)
Keywords: Post-stratification; generalized regression; calibration.

Calibration and the estimation of macroeconomic models,
Nikolay Iskrev, from ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa (2018)
Keywords: DSGE models,information content,calibration

Calibration and the Volatility of Labor: A Cautionary Note,
Kevin Salyer, from University of California, Davis, Department of Economics (2003)
Keywords: calibration, real business cycles

Advanced model calibration on bitcoin options,
Dilip B. Madan, Sofie Reyners and Wim Schoutens, in Digital Finance (2019)
Keywords: Cryptocurrency, Modelling, Bitcoin, Calibration

Evaluation of “Autotune” calibration against manual calibration of building energy models,
Gaurav Chaudhary, Joshua New, Jibonananda Sanyal, Piljae Im, O’Neill, Zheng and Vishal Garg, in Applied Energy (2016)
Keywords: Autotune; Building energy modeling; Calibration; Energy efficient buildings; Automated calibration;

Bayesian inference of structural error in inverse models of thermal response tests,
Wonjun Choi, Kathrin Menberg, Hideki Kikumoto, Yeonsook Heo, Ruchi Choudhary and Ryozo Ooka, in Applied Energy (2018)
Keywords: Ground-source heat pump (GSHP); Thermal response test (TRT); Bayesian calibration; Structural biased error; Uncertainty assessment; Parameter estimation; Groundwater flow;

A Geometric Proof of Calibration,
Gilles Stoltz and Shie Mannor, from HAL (2010)
Keywords: calibration,approachability,convergence rates,computational complexity

Calibration and the Expert Problem,
S. French, in Management Science (1986)
Keywords: calibration, independence of experts, subjective probability, the expert problem