Search Results

On the use of double cross-validation for the combination of proteomic mass spectral data for enhanced diagnosis and prediction,
B.J.A. Mertens, Y.E.M. van der Burgt, B. Velstra, W.E. Mesker, R.A.E.M. Tollenaar and A.M. Deelder, in Statistics & Probability Letters (2011)
Keywords: Clinical mass spectrometry proteomics Predictive data fusion Double cross-validation Classification Model combination

A multi-period-sequential-index combination method for short-term prediction of small sample data,
Hongyan Jiang, Feng Cheng, Cong Wu, Dianjun Fang and Yuhai Zeng, in Reliability Engineering and System Safety (2024)
Keywords: Small sample data; Multi-period-sequential-index combination; Forecasting method; Accuracy evaluation; Noise ratio;

Estimation viability of dedicated freighter aircraft of combination carriers: A data envelopment and principal component analysis,
Seock-Jin Hong, Wesley Randall, Keunsoo Han and Amit Sundeep Malhan, in International Journal of Production Economics (2018)
Keywords: Combination carriers; Air cargo business; Dedicated freighter aircraft; Data envelopment analysis-principal component analysis;

K-anonymity: A note on the trade-off between data utility and data security,
Tatiana Komarova, Denis Nekipelov, Ahnaf Rafi and Evgeny Yakovlev, in Applied Econometrics (2017)
Keywords: data protection; data combination; k-anonymity

Hierarchical Multilevel Approaches of Forecast Combination,
Silvia Riedel and Bogdan Gabrys, from Springer (2005)
Keywords: Data Fusion, Combination Model, Management Forecast, Individual Forecast, Level Forecast

Optimal Combination of Survey Forecasts,
Domenico Giannone, Christine De Mol and Cristina Conflitti, from C.E.P.R. Discussion Papers (2012)
Keywords: Forecast combination; Forecast evaluation; High-dimensional data; Real-time data; Shrinkage; Survey of professional forecasters

Optimal combination of survey forecasts,
Cristina Conflitti, Christine De Mol and Domenico Giannone, in International Journal of Forecasting (2015)
Keywords: Forecast combination; Forecast evaluation; Survey of Professional Forecasters; Real-time data; Shrinkage; High-dimensional data;

Optimal Combination of Survey Forecasts,
Cristina Conflitti, Christine De Mol and Domenico Giannone, from ULB -- Universite Libre de Bruxelles (2012)
Keywords: forecast combination; forecast evaluation; survey of professional forecasters; real-time data; shrinkage; high-dimensional data

Forecast combination for VARs in large N and T panels,
Ryan Greenaway-McGrevy, in International Journal of Forecasting (2022)
Keywords: Forecast combination; Model averaging; Panel data; Mallows criterion; Bias correction;

Online Forecast Combination for Dependent Heterogeneous Data,
Alessio Sancetta, from Faculty of Economics, University of Cambridge (2007)
Keywords: Forecast Combination, Model Selection, Multiplicative Update, Non-asymptotic Bound, On-line Learning.

Time-varying forecast combination for high-dimensional data,
Bin Chen and Kenwin Maung, in Journal of Econometrics (2023)
Keywords: Cross validation; Forecast combination; High dimension; Local linear estimation; SCAD; Sparsity;

Clustering and Forecasting Urban Bus Passenger Demand with a Combination of Time Series Models,
Irene Mariñas-Collado, Ana E. Sipols, M. Teresa Santos-Martín and Elisa Frutos-Bernal, in Mathematics (2022)
Keywords: forecasting; time series models; big data; clustering; cointegration; combination

Constructing GDP Nowcasting Models Using Alternative Data,
Takashi Nakazawa, from Bank of Japan (2022)
Keywords: Nowcasting; Alternative Data; Elastic Net; Forecast Combination

Efficient Aggregation of Panel Qualitative Survey Data,
James Mitchell, Richard Smith and Martin Weale, from Division of Economics, School of Business, University of Leicester (2011)
Keywords: Survey Data; Indicators; Quantification; Forecasting; Forecast Combination

Combining Administrative and Survey Data to Improve Income Measurement,
Bruce D. Meyer and Nikolas Mittag, from Institute of Labor Economics (IZA) (2019)
Keywords: administrative data, survey error, income distribution, linked data, data combination

Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data,
Laura Liu and Mikkel Plagborg-M?ller, from Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington (2021)
Keywords: Bayesian inference, data combination, heterogeneous agent models

A Bayesian Indicator of Manufacturing Output from Qualitative Business Panel Survey Data,
Dr Martin Weale and Dr. James Mitchell, from National Institute of Economic and Social Research (2006)
Keywords: Survey data, Indicators, Quantification, Forecasting; Forecast Combination

Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data,
Laura Liu and Mikkel Plagborg-Møller, from Princeton University. Economics Department. (2022)
Keywords: Bayesian inference, data combination, heterogeneous agent models

Statistical Matching for Combining Time-Use Surveys with Consumer Expenditure Surveys: An Evaluation on Real Data,
Anil Alpman, François Gardes and Noël Thiombiano, from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne (2017)
Keywords: Data combination; Data fusion; Missing data; Statistical matching; Time-Use

A conjunctive parallelogram model for pick any/n data,
Iwin Leenen and Iven Mechelen, in Psychometrika (2004)
Keywords: Choice data analysis, binary data, parallelogram analysis, noncompensatory combination rule,

Data, Targeted Advertising and Quality of Journalism: The Case of Accelerated Mobile Page (AMP),
Doh-Shin Jeon and Jun Yan, from Toulouse School of Economics (TSE) (2022)
Keywords: Targeted Advertising; Data Combination; Data Leakage; Quality; of Journalism; Search Engine

Forecast combination for U.S. recessions with real-time data,
Laurent Pauwels and Andrey Vasnev, in The North American Journal of Economics and Finance (2014)
Keywords: U.S. business cycle; Forecast combination; Density forecast; Probit models; Yield curve; Coincident indicators;

Nowcasting GDP in real-time: A density combination approach,
Knut Are Aastveit, Karsten R. Gerdrup, Anne Sofie Jore and Leif Thorsrud, from Norges Bank (2011)
Keywords: Density combination, Forecast densities, Forecast evaluation, Monetary policy, Nowcasting; Real-time data

Nowcasting GDP in Real-Time: A Density Combination Approach,
Knut Are Aastveit, Karsten R. Gerdrup, Anne Sofie Jore and Leif Thorsrud, from Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School (2011)
Keywords: Density combination; Forecast densities; Forecast evaluation; Monetary policy; Nowcasting; Real-time data

Linear Regressions with Combined Data,
Xavier D'Haultfoeuille, Christophe Gaillac and Arnaud Maurel, from Toulouse School of Economics (TSE) (2024)
Keywords: Best linear prediction; data combination; partial identification; inference.

A panel data approach to economic forecasting: The bias-corrected average forecast,
João Issler and Luiz Lima, in Journal of Econometrics (2009)
Keywords: Forecast combination Forecast-combination puzzle Common features Panel-data Bias-corrected average forecast

Macroeconomic forecasting: can forecast combination help?,
Geoff Kenny, in Research Bulletin (2010)
Keywords: forecast combination

Model selection for forecast combination,
Philip Hans Franses, from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute (2008)
Keywords: forecast combination, model selection

Unlocking the Value of Combination Therapies,
George Bray;Lotte Steuten;Gayathri Kumar, from Office of Health Economics (2024)
Keywords: Unlocking the Value of Combination Therapies

The combination of volatility forecasts,
Alessandra Amendola and Giuseppe Storti, from Society for Computational Economics (2006)
Keywords: Forecasts combination, volatility, GMM

A novel non-linear combination system for short-term wind speed forecast,
Jianzhou Wang, Shiqi Wang and Wendong Yang, in Renewable Energy (2019)
Keywords: Short-term forecasting; Error sequence; Non-linear combination; Data feature extraction; Multi-objective optimization;

Forecasting the real price of oil in a changing world: A forecast combination approach,
Christiane Baumeister and Lutz Kilian, from Center for Financial Studies (CFS) (2013)
Keywords: forecast combination, real-time data, model misspecification, structural change, oil price

Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach,
Lutz Kilian and Christiane Baumeister, from C.E.P.R. Discussion Papers (2013)
Keywords: Forecast combination; Model misspecification; Oil price; Real-time data; Structural change

Application of Combination Forecasting Model in Service Parts Demand of the PC Industry,
Yuanyuan Ge and Yuan Tian, from Springer (2015)
Keywords: Service parts demand, Data analysis, Regression prediction, Grey forecast combination forecast model

Forecast combination for discrete choice models: predicting FOMC monetary policy decisions,
Laurent Pauwels and Andrey Vasnev, in Empirical Economics (2017)
Keywords: Forecast combination, Probability forecast, Discrete choice models, Monetary policy decisions, Real-time data

Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms,
Yongchen Zhao, from The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting (2015)
Keywords: Forecast combination; exponential re-weighting; shrinkage; estimation error; performance stability; real-time data

Contract Theory-Based Collection, Updating, and Packaging Combination Strategies in Data Trading,
Axun Xing, Haiyan Wang, Bei Bian and Xinxin Guo, in Service Science (2024)
Keywords: data trading, contract theory, data collection, differential pricing, data updates

Estimation and Inference of Semiparametric Models Using Data from Several Sources,
Moshe Buchinsky, Fanghua Li and Zhipeng Liao, from HAL (2022)
Keywords: Conditional moment restrictions,Data combination,Minimum distance estimation,Series estimation

Forecasting with panel data: estimation uncertainty versus parameter heterogeneity,
Mohammad Pesaran, Andreas Pick and Allan Timmermann, from C.E.P.R. Discussion Papers (2022)
Keywords: Panel data; Heterogeneity; Forecast evaluation; Forecast combination; Shrinkage; Pooling

Estimation and Inference of Semiparametric Models Using Data from Several Sources,
Moshe Buchinsky, Fanghua Li and Zhipeng Liao, from HAL (2022)
Keywords: Conditional moment restrictions,Data combination,Minimum distance estimation,Series estimation

Estimation and inference of semiparametric models using data from several sources,
Moshe Buchinsky, Fanghua Li and Zhipeng Liao, in Journal of Econometrics (2022)
Keywords: Conditional moment restrictions; Data combination; Minimum distance estimation; Series estimation;

Forecasting with panel data: estimation uncertainty versus parameter heterogeneity,
Mohammad Pesaran, Andreas Pick and Allan Timmermann, from Faculty of Economics, University of Cambridge (2022)
Keywords: Forecasting, Panel data, Heterogeneity, Pooled estimation; Forecast combination

Forecasting With Panel Data: Estimation Uncertainty Versus Parameter Heterogeneity,
Mohammad Pesaran, Andreas Pick and Allan Timmermann, from CESifo (2022)
Keywords: forecasting, panel data, heterogeneity, forecast evaluation, forecast combination, shrinkage, pooling

Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation,
Michael Clements and Ana Galvão, from University of Warwick, Department of Economics (2006)
Keywords: Data frequency ; multiple predictors ; combination ; real-time forecasting

The Value of Data for Prediction Policy Problems: Evidence from Antibiotic Prescribing,
Shan Huang, Michael Allan Ribers and Hannes Ullrich, from DIW Berlin, German Institute for Economic Research (2021)
Keywords: Prediction policy, data combination, machine learning, antibiotic prescribing

A combination replication strategy for data-intensive services in distributed geographic information system,
Shaoming Pan, Zhengquan Xu, Qingxiang Meng and Yanwen Chong, in International Journal of Distributed Sensor Networks (2017)
Keywords: Data replication; replica selection; data placement; data mining; distributed geographic information system

Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia,
Nail Kashaev, from University of Western Ontario, Department of Economics (2022)
Keywords: Pure Choice-Based Data, Presence-Only Data, Data Combination, Missing Data, Epidemiology, Novel Coronavirus

SIMPLE BAYESIAN FORECAST COMBINATION,
Philip Hans Franses, in Annals of Financial Economics (AFE) (2020)
Keywords: Forecasting, forecast combination, S curves

A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches,
Shuai Wang, Jianzhou Wang, Haiyan Lu and Weigang Zhao, in Energy (2021)
Keywords: Wind speed prediction; Deep learning algorithm; Data preprocessing; Combination forecasting strategy;

The Hybrid Model: Combination of Big Data Analytics and Design Thinking,
Michael Lewrick, from Springer (2022)
Keywords: Design thinking, Big data, AI, Hybrid

Combination of Multigrid with Constraint Data for Inverse Problem of Nonlinear Diffusion Equation,
Tao Liu, Di Ouyang, Lianjun Guo, Ruofeng Qiu, Yunfei Qi, Wu Xie, Qiang Ma and Chao Liu, in Mathematics (2023)
Keywords: inverse problem; nonlinear diffusion equation; multigrid method; constraint data; regularization

The powerful combination of cross-country comparisons and life-history data,
James Banks, Agar Brugiavini and Giacomo Pasini, in The Journal of the Economics of Ageing (2020)
Keywords: International comparisons; Late-life employment; Life-history data;

Forecasting Economic Variables Using Disaggregated Data for Consumer Expectations: A Comparison of Forecast Combination Methods (in Korean),
Ha-Hyun Jo and Sun-Oong Hwang, in Economic Analysis (Quarterly) (2009)
Keywords: Consumer expectation index, Forecast combination, Clustering method, Bayesian method, Principal component method

A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm,
Zhongshan Yang and Jian Wang, in Applied Energy (2018)
Keywords: Wind speed forecasting; Complementary ensemble empirical model; Modified water cycle algorithm; Broyden family; Combination model;

A flexible predictive density combination for large financial data sets in regular and crisis periods,
Roberto Casarin, Stefano Grassi, Francesco Ravazzolo and Herman K. van Dijk, in Journal of Econometrics (2023)
Keywords: Density combination; Large set of predictive densities; Dynamic factor models; Nonlinear state-space; Bayesian inference;

A Flexible Predictive Density Combination Model for Large Financial Data Sets in Regular and Crisis Periods,
Roberto Casarin, Stefano Grassi, Francesco Ravazzolo and Herman van Dijk, from Tinbergen Institute (2022)
Keywords: Density Combination, Large Set of Predictive Densities, Dynamic Factor Models, Nonlinear state-space, Bayesian Inference

A Flexible Predictive Density Combination for Large Financial Data Sets in Regular and Crisis Periods,
Roberto Casarin, Stefano Grassi, Francesco Ravazzolo and Herman K. van Dijk, from Tinbergen Institute (2022)
Keywords: Density Combination, Large Set of Predictive Densities, Dynamic Factor Models, Nonlinear state-space, Bayesian Inference

A combination of variable selection and data mining techniques for high-dimensional statistical modelling,
Christos Koukouvinos, Kalliopi Mylona and Christina Parpoula, in International Journal of Information and Decision Sciences (2013)
Keywords: variable selection; non-concave penalised likelihood; data mining; decision making; high-dimensional statistical modelling; seismological data; Greece; risk assessment; large earthquakes; decision trees.

The forecast combination puzzle: A simple theoretical explanation,
Gerda Claeskens, Jan Magnus, Andrey Vasnev and Wendun Wang, in International Journal of Forecasting (2016)
Keywords: Forecast combination; Optimal weights;

The forecast combination puzzle: a simple theoretical explanation,
Gerda Claeskens, Jan Magnus, Andrey Vasnev and Wendun Wang, from KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven (2016)
Keywords: Forecast combination, Optimal weights

On the distribution of the weighted combination of independent probabilities,
Dinesh S. Bhoj, in Statistics & Probability Letters (1992)
Keywords: Combination of independent tests incomplete gamma function weighted combination

An improved operator of combination with adapted conflict,
Xinyang Deng, Yong Deng and Felix Chan, in Annals of Operations Research (2014)
Keywords: Combination with adapted conflict, Combination rule , Jousselme distance, Belief function theory,

Optimal combination of currency strategies,
Ricardo Laborda, in The North American Journal of Economics and Finance (2018)
Keywords: Currency style investing; Optimal combination; Currency predictability;

The shrinkage approach in the combination of forecasts,
Thomas Wenzel, from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen (2000)
Keywords: shrinkage, combination of forecast, mean squared error

Combination of multivariate volatility forecasts,
Alessandra Amendola and Giuseppe Storti, from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk (2009)
Keywords: Multivariate GARCH, forecast combination, GMM, portfolio optimization

A note on the combination of equilibrium problems,
Nguyen Thi Thanh Ha, Tran Thi Huyen Thanh, Nguyen Ngoc Hai, Hy Duc Manh and Bui Dinh, in Mathematical Methods of Operations Research (2020)
Keywords: Equilibria, Ky Fan inequality, Combination of equilibrium problems

Combined Use of Optical and Synthetic Aperture Radar Data for REDD+ Applications in Malawi,
Manuela Hirschmugl, Carina Sobe, Janik Deutscher and Mathias Schardt, in Land (2018)
Keywords: dry forest; land cover; REDD+; Sentinel; time series data; optical; SAR; data combination

New insights on permutation approach for hypothesis testing on functional data,
Livio Corain, Viatcheslav Melas, Andrey Pepelyshev and Luigi Salmaso, in Advances in Data Analysis and Classification (2014)
Keywords: Data compression, Functional data, Nonparametric combination, Permutation tests, Permutationally equivalent test statistic, 62G09, 62H15,

Combining averting behavior and contingent valuation data: an application to drinking water treatment,
Marcia A. Rosado, Maria A. Cunha-e-Sa, Maria M. Ducla-Soares and Luis Nunes, from Universidade Nova de Lisboa, Nova School of Business and Economics (2000)
Keywords: Averting behavior, combination of data sets, consistency tests, contingent valuation, revealed preferred data

Exploring the Spatiotemporal Dynamics of CO 2 Emissions through a Combination of Nighttime Light and MODIS NDVI Data,
Yongxing Li, Wei Guo, Peixian Li, Xuesheng Zhao and Jinke Liu, in Sustainability (2023)
Keywords: CO 2 emissions; normalized urban index based on combination variables; standard deviational ellipse; Theil–Sen and Mann–Kendall trend analysis; nighttime light

Adaptive combination of dependent tests,
Joseph Sexton, Rune Blomhoff, Anette Karlsen and Petter Laake, in Computational Statistics & Data Analysis (2012)
Keywords: Adaptive combination; Dependent tests; Multivariate two-sample test; Permutation; P-value combination;

Does forecast combination improve Norges Bank inflation forecasts?,
Hilde Bjørnland, Karsten Gerdrup, Anne Sofie Jore, Christie Smith and Leif Thorsrud, from Norges Bank (2009)
Keywords: Forecasting, forecast combination

Tourism forecast combination using the CUSUM technique,
Chi Kin Chan, Stephen F. Witt, Y.C.E. Lee and H. Song, in Tourism Management (2010)
Keywords: Tourism forecasts; Forecast combination; Combination weights; Quadratic programming;

Evaluating ensemble density combination - forecasting GDP and inflation,
Karsten R. Gerdrup, Anne Sofie Jore, Christie Smith and Leif Thorsrud, from Norges Bank (2009)
Keywords: forecasting, density combination; model combination; clustering; ensemble density; pits.

Corporate Social Responsibility performance assessment by using a linear combination of key indicators,
Antonio Focacci, in International Journal of Business Governance and Ethics (2011)
Keywords: accounting; CSR rate; corporate social responsibility; linear combination; management systems; performance measurement; sustainability management; performance evaluation; key indicators; sustainable development; financial statements; environmental data; social values.

Multi-object Auctions: On the Use of Combinational Bids,
Fernando Branco, from C.E.P.R. Discussion Papers (1995)
Keywords: Auctions; Combinational Bids; Mechanism Design

Forecast combination when outcomes are difficult to predict,
Graham Elliott, in Empirical Economics (2017)
Keywords: Forecasting, Forecast combination, Average forecasts

The statistical combination procedure in measures for risk in financial systems,
Francesca Parpinel, from Department of Economics, University of Venice "Ca' Foscari" (2015)
Keywords: Systemic risk, ranking, nonparametric combination

Partial identification and inference in moment models with incomplete data,
Yanqin Fan, Xuetao Shi and Jing Tao, in Journal of Econometrics (2023)
Keywords: Bernstein copula; Data combination; Selection-on-observables; Distributional treatment effects; Counterfactual distribution; Regressions short and long;

On the Positive Expected Utility of Combination Wagers,
Babatunde Buraimo, David Peel and Rob Simmons, in Decision Analysis (2016)
Keywords: expected utility, optimal wagering, combination wagers on an event

Weights and pools for a Norwegian density combination,
Hilde Bjørnland, Karsten Gerdrup, Anne Sofie Jore, Christie Smith and Leif Thorsrud, in The North American Journal of Economics and Finance (2011)
Keywords: Model combination Evaluation Density forecasting KLIC

Hits-and-misses for the evaluation and combination of forecasts,
Thomas Wenzel, from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen (2000)
Keywords: Combination of forecasts, hits-and-misses, turning points, fuzzy

Weights and pools for a Norwegian density combination,
Hilde Bjørnland, Karsten Gerdrup, Christie Smith, Anne Sofie Jore and Leif Thorsrud, from Norges Bank (2010)
Keywords: Model combination; evaluation; density forecasting; KLIC

Forecast combination puzzle in the HAR model,
Adam Clements and Andrey Vasnev, from University of Sydney Business School, Discipline of Business Analytics (2021)
Keywords: Realized volatility, forecast combination, HAR model

Model Confidence Sets and forecast combination,
Jon D. Samuels and Rodrigo Sekkel, in International Journal of Forecasting (2017)
Keywords: Model combination; Performance-based weighting; Trimming;

Sister models for load forecast combination,
Bidong Liu, Jiali Liu and Tao Hong, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2015)
Keywords: Electric load forecasting; Forecast combination; Sister forecast

Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique,
J. D’haen, Dirk Van den Poel and Dirk Thorleuchter, from Ghent University, Faculty of Economics and Business Administration (2012)
Keywords: marketing analytics; predictive analytics, data source; b2b; web mining; web crawling; bagging; profitability; customer acquisition; external commercial data

The combination of interval forecasts in tourism,
Gang Li, Doris Chenguang Wu, Menglin Zhou and Anyu Liu, in Annals of Tourism Research (2019)
Keywords: Interval forecast; Combination forecasting; Econometric model; Winkler score; Tourism demand;

Combination of "Combinations of P-values,
Xuguang Simon Sheng and Lan Cheng, from American University, Department of Economics (2012)
Keywords: Combination methods; Hypothesis testing; p value; Union of rejections

Forecast combination with outlier protection,
Gang Cheng and Yuhong Yang, in International Journal of Forecasting (2015)
Keywords: AFTER; Forecast combination; Outlier protection; Robustness; Loss function; M3-competition;