default search action
Statistics and Computing, Volume 35
Volume 35, Number 1, February 2025
- Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Shyam Mohan Subbiah Pillai
, Raúl Tempone:
Multilevel importance sampling for rare events associated with the McKean-Vlasov equation. 1 - Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Weitong Chen, Nan Ye, Miao Xu:
A boosting framework for positive-unlabeled learning. 2 - Qiang Heng, Kenneth Lange:
Bootstrap estimation of the proportion of outliers in robust regression. 3 - Alex Stringer:
Exact gradient evaluation for adaptive quadrature approximate marginal likelihood in mixed models for grouped data. 4 - Gabriel Turinici:
Huber-energy measure quantization. 5 - Robert L. Bassett, Micah Y. Oh:
Estimating a signal subspace in the presence of impulsive noise. 6 - Hassan Maatouk, Didier Rullière, Xavier Bay:
Large-scale constrained Gaussian processes for shape-restricted function estimation. 7 - Rachel Carrington, Paul Fearnhead:
Improving power by conditioning on less in post-selection inference for changepoints. 8 - Christian P. Robert, Julien Stoehr
Simulating signed mixtures. 9 - Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M. Stuart:
Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation. 10 - Jacopo Di Iorio, Marzia A. Cremona, Francesca Chiaromonte:
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores. 11 - Arved Bartuska, Luis Espath, Raúl Tempone:
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty. 12 - Guanghui Cheng, Wenjuan Hu, Ruitao Lin, Chen Wang:
Online robust estimation and bootstrap inference for function-on-scalar regression. 13 - Sijin He, Xiaochao Xia:
Random perturbation subsampling for rank regression with massive data. 14 - Lili Li, Bingfan Liu, Xiaodi Liu, Haolun Shi, Jiguo Cao:
Optimal subsampling for generalized additive models on large-scale datasets. 15 - Robert Altmann, Afsaneh Moradi:
Probabilistic time integration for semi-explicit PDAEs. 16 - Esmail Abdul Fattah
INLA+: approximate Bayesian inference for non-sparse models using HPC. 17 - Zhongqi Liang
K-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses. 18 - Luiza S. C. Piancastelli
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach. 19 - Siu-Kui Au:
A limit formula and recursive algorithm for multivariate Normal tail probability. 20 - Luiza S. C. Piancastelli
The clustered Mallows model. 21 - Minwoo Kim, Marc G. Genton
A neural network-based adaptive cut-off approach to normality testing for dependent data. 22 - Akira Okazaki, Shuichi Kawano:
Multi-task learning via robust regularized clustering with non-convex group penalties. 23 - Nan Qiao, Canyi Chen, Zhengtian Zhu:
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach. 24
Volume 35, Number 2, April 2025
- Yang Liu, Pengfei Li, Yukun Liu:
Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models. 25 - Yujing Shao, Lei Wang, Heng Lian:
Optimal distributed subsampling under heterogeneity. 26 - Michail Tsagris:
Constrained least squares simplicial-simplicial regression. 27 - Junzhuo Gao
Power enhancing probability subsampling using side information. 28 - Florian B. Hinz, Amr H. Mahmoud, Markus A. Lill:
An analysis of the modality and flexibility of the inverse stereographic normal distribution. 29 - Zhimin Hong, Ruoxuan Wang, Zhiwen Wang, Wala Du:
Inference issue in multiscale geographically and temporally weighted regression. 30 - Shanshan Qin, Zhenni Tan, Weidong Wei, Yuehua Wu:
PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data. 31 - Ziang Zhang
Efficient modeling of quasi-periodic data with seasonal Gaussian process. 32 - Vivian Yi-Ju Chen, Shi-Ting Wang:
Geographically weighted quantile regression for count Data. 33 - Zhaoran Hou, Samuel W. K. Wong:
Particle Gibbs for likelihood-free inference of stochastic volatility models. 34 - Chen Zhong:
Statistical inference and goodness-of-fit test in functional data via error distribution function. 35 - Sofia Guglielmini, Gerda Claeskens
Asymptotic post-selection inference for regularized graphical models. 36 - Yidan Wang, Lingyun Zhang, Yujie Gai:
Real-time inference for smoothing quantile regression on streaming datasets with heterogeneity detection. 37 - Mingao Yuan, Qianqian Yao:
Testing common degree-correction parameters of multilayer networks. 38 - Victor H. Lachos, Salvatore D. Tomarchio
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data. 39 - Yuan Bian
Empirical investigations of boosting with pseudo-outcome imputation for missing responses. 40 - Rayleigh Lei, Abel Rodriguez:
Logit unfolding choice models for binary data. 41 - Shifan Jia, Haolun Shi, Tianyu Guan:
Function-on-function regression models with nonlinear dynamic effect and linear concurrent effect. 42 - Paul Bach, Nadja Klein
Anisotropic multidimensional smoothing using Bayesian tensor product P-splines. 43 - Haosheng Shi, Wenlin Dai:
Exploratory analysis of dynamic networks using latent functions. 44 - Yanzhao Wang, Yaohua Zhang, Jian Zou, Nalini Ravishanker:
Online structural break detection in financial durations. 45 - Jiarui Zhang, Jiguo Cao, Liangliang Wang:
Robust Bayesian functional principal component analysis. 46 - María Xosé Rodríguez-Álvarez, Vanda Inácio, Nadja Klein
Density regression via Dirichlet process mixtures of normal structured additive regression models. 47 - Pierpaolo D'Urso
Fuzzy K-expectiles clustering. 48 - Bidhan Modok, Shovan Chowdhury, Amarjit Kundu:
Control charts for monitoring Weibull quantile under generalized hybrid and progressive censoring schemes. 49 - S. Columbu, N. Piras, Jeroen K. Vermunt:
Multilevel latent class models for cross-classified categorical data: model definition and estimation through stochastic EM. 50 - Michail Tsagris, Panagiotis Papastamoulis, Shogo Kato:
Directional data analysis: spherical Cauchy or Poisson kernel-based distribution? 51 - Giuseppina Albano, Antonio Barrera, Virginia Giorno, Francisco Torres-Ruiz:
Inference on diffusion processes related to a general growth model. 52 - Timofei Biziaev, Karen A. Kopciuk, Thierry Chekouo:
Using prior-data conflict to tune Bayesian regularized regression models. 53 - Michael Grabchak, Sina Saba:
On approximations of subordinators in Lp and the simulation of tempered stable distributions. 54
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-03-05 20:38 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: