Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Guanhua Fang, Owen G. Ward, Tian Zheng |
Online estimation and community detection of network point processes for event streams. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Shan Lu 0008, Wenjing Wang, Rong Guan |
Kent feature embedding for classification of compositional data with zeros. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Etienne David, Jean Bellot, Sylvain Le Corff, Luc Lehéricy |
Identifiability of discrete input-output hidden Markov models with external signals. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Marco Alfò, Nicola Salvati, Maria Giovanna Ranalli |
Correction to: Finite mixtures of quantile and M-quantile regression models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Youwu Lin, Xin Zeng, Pei Wang, Shuai Huang, Kok Lay Teo |
Variable selection using axis-aligned random projections for partial least-squares regression. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Abdelaati Daouia, Gilles Stupfler, Antoine Usseglio-Carleve |
An expectile computation cookbook. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Carlos Tadeu Pagani Zanini, Helio dos Santos Migon, Ronaldo Dias |
Variational inference for Bayesian bridge regression. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Xuejun Jiang, Yakun Liang, Haofeng Wang |
Screen then select: a strategy for correlated predictors in high-dimensional quantile regression. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Ian Meneghel Danilevicz, Valderio Anselmo Reisen, Pascal Bondon |
Expectile and M-quantile regression for panel data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Yan Chen, Shuixin Fang, Lu Lin |
Renewable composite quantile method and algorithm for nonparametric models with streaming data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Liugen Xue |
Doubly robust estimation and robust empirical likelihood in generalized linear models with missing responses. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Nicholas Kissel, Lucas Mentch |
Forward stability and model path selection. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Ines Ortega-Fernandez, Marta Sestelo, Nora M. Villanueva |
Explainable generalized additive neural networks with independent neural network training. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Sarat Babu Moka, Benoit Liquet, Houying Zhu, Samuel Müller 0004 |
COMBSS: best subset selection via continuous optimization. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Hanwen Xuan, Luca Maestrini, Feng Chen, Clara Grazian |
Stochastic variational inference for GARCH models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Etienne Côme |
Bayesian contiguity constrained clustering. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Michael Grabchak, Xingnan Zhang |
Representation and simulation of multivariate Dickman distributions and Vervaat perpetuities. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Lorenzo Zambon, Dario Azzimonti, Giorgio Corani |
Efficient probabilistic reconciliation of forecasts for real-valued and count time series. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Yuki Takazawa, Tomonari Sei |
Maximum likelihood estimation of log-concave densities on tree space. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa |
Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Bao Anh Vu, David Gunawan, Andrew Zammit-Mangion |
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski |
Likelihood-free inference in state-space models with unknown dynamics. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Issam-Ali Moindjié, Sophie Dabo-Niang, Cristian Preda |
Classification of multivariate functional data on different domains with Partial Least Squares approaches. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Lucca Portes Cavalheiro, Simon Bernard 0001, Jean Paul Barddal, Laurent Heutte |
Random forest kernel for high-dimension low sample size classification. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Matheus Castro, Caio L. N. Azevedo, Juvêncio Santos Nobre |
A robust quantile regression for bounded variables based on the Kumaraswamy Rectangular distribution. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jan Vávra, Arnost Komárek, Bettina Grün, Gertraud Malsiner-Walli |
Clusterwise multivariate regression of mixed-type panel data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jonathan James |
Automated generation of initial points for adaptive rejection sampling of log-concave distributions. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Rongqian Sun, Xinyuan Song |
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Liugen Xue |
Empirical likelihood and estimation in single-index varying-coefficient models with censored data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Wan Tian, Zhongfeng Qin |
The minimum covariance determinant estimator for interval-valued data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Yannis G. Yatracos |
Do applied statisticians prefer more randomness or less? Bootstrap or Jackknife? |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Junwen Xiao, Zishu Zhan, Jingxiao Zhang |
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Luis E. Nieto-Barajas |
Multivariate and regression models for directional data based on projected Pólya trees. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Esam Mahdi |
New mixed portmanteau tests for time series models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Francesco Amato, Julien Jacques, Isabelle Prim-Allaz |
Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Chunhui Liang, Wenqing Ma |
Heterogeneous analysis for clustered data using grouped finite mixture models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Yushan Xue, Jie Ren, Bin Yang |
Enmsp: an elastic-net multi-step screening procedure for high-dimensional regression. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Weiwei Wang, Yuqiang Li, Xianyi Wu |
Off-policy evaluation for tabular reinforcement learning with synthetic trajectories. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Marion Naveau, Guillaume Kon Kam King, Renaud Rincent, Laure Sansonnet, Maud Delattre |
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Luke Mosley, Tak-Shing T. Chan, Alex J. Gibberd |
The sparse dynamic factor model: a regularised quasi-maximum likelihood approach. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Chengqian Xian, Camila P. E. de Souza, Wenqing He, Felipe F. Rodrigues, Renfang Tian |
Variational Bayesian analysis of survival data using a log-logistic accelerated failure time model. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Alex Ziyu Jiang, Abel Rodriguez |
Improvements on scalable stochastic Bayesian inference methods for multivariate Hawkes process. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Cheng-Der Fuh, Chuan-Ju Wang |
Efficient exponential tilting with applications. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Michaël Allouche, Stéphane Girard, Emmanuel Gobet |
Estimation of extreme quantiles from heavy-tailed distributions with neural networks. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Laixu Shang, Qian-Zhen Zheng, Ping-Feng Xu, Na Shan, Man-Lai Tang |
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jasmin Rühl, Sarah Friedrich |
Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Alessandro Celani, Paolo Pagnottoni, Galin Jones |
Bayesian variable selection for matrix autoregressive models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Hongyu Wu, Jonathan R. Bradley |
Global-local shrinkage multivariate logit-beta priors for multiple response-type data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Hsin-Hsiung Huang, Feng Yu 0016, Xing Fan, Teng Zhang 0002 |
A framework of regularized low-rank matrix models for regression and classification. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Pawel Dlotko, Niklas Hellmer, Lukasz Stettner, Rafal Topolnicki |
Topology-driven goodness-of-fit tests in arbitrary dimensions. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Naruesorn Prabpon, Kitakorn Homsud, Pat Vatiwutipong |
Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jorge Loría, Anindya Bhadra |
SURE-tuned bridge regression. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Aisha Fayomi, Yannis Pantazis, Michail Tsagris, Andrew T. A. Wood |
Cauchy robust principal component analysis with applications to high-dimensional data sets. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Frank Nielsen, Kazuki Okamura |
On the f-divergences between densities of a multivariate location or scale family. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Chen Ouyang, Chenkaixiang Lu, Xiong Zhao, Ruping Huang, Gonglin Yuan, Yiyan Jiang |
Stochastic three-term conjugate gradient method with variance technique for non-convex learning. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Ilaria Bombelli, Maurizio Vichi |
Parsimonious consensus hierarchies, partitions and fuzzy partitioning of a set of hierarchies. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | María Barroso, Carlos M. Alaíz, José L. Torrecilla, Ángela Fernández 0001 |
Functional diffusion maps. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Carlo Cavicchia, Maurizio Vichi, Giorgia Zaccaria |
Parsimonious ultrametric Gaussian mixture models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Hanâ Lbath, Alexander Petersen, Sophie Achard |
Large-scale correlation screening under dependence for brain functional connectivity network inference. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | David Oechsler |
Lévy Langevin Monte Carlo. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Yaman Kindap, Simon J. Godsill |
Point process simulation of generalised hyperbolic Lévy processes. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Beatrice Foroni, Luca Merlo, Lea Petrella |
Expectile hidden Markov regression models for analyzing cryptocurrency returns. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Deepak Prajapati, Ayan Pal, Debasis Kundu |
A finite mixture model for multiple dependent competing risks with applications of automotive warranty claims data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Linh H. Nghiem, Francis K. C. Hui, Samuel Müller 0001, Alan H. Welsh |
Likelihood-based surrogate dimension reduction. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | David Rodríguez-Vítores, Carlos Matrán |
Improving model choice in classification: an approach based on clustering of covariance matrices. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Ajay Jasra, Hamza M. Ruzayqat, Amin Wu |
Bayesian parameter inference for partially observed stochastic volterra equations. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Alessio Farcomeni, Marco Geraci |
Quantile ratio regression. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Zehan Yang, HaiYing Wang, Jun Yan 0002 |
Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Fengchuan Zhang, Sanguo Zhang, Shi-Ming Li, Mingyang Ren |
Matrix regression heterogeneity analysis. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Sarah Leyder, Jakob Raymaekers, Tim Verdonck |
Generalized spherical principal component analysis. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Xin Li 0061, Dongya Wu |
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Wanwan Liang, Ben Wu, Bo Zhang |
Modeling volatility for high-frequency data with rounding error: a nonparametric Bayesian approach. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi |
Generalised likelihood profiles for models with intractable likelihoods. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Kin Yap Cheung, Stephen M. S. Lee |
High-dimensional local polynomial regression with variable selection and dimension reduction. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Antoine Godichon-Baggioni, Stéphane Robin |
A robust model-based clustering based on the geometric median and the median covariation matrix. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Yuhyeong Jang, Raanju R. Sundararajan, Wagner Barreto-Souza |
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Janice L. Scealy, Kassel L. Hingee, John T. Kent, Andrew T. A. Wood |
Robust score matching for compositional data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Filippo Pagani, Augustin Chevallier, Sam Power, Thomas A. House, Simon L. Cotter |
NuZZ: Numerical Zig-Zag for general models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Emanuele Borgonovo, Elmar Plischke, Clémentine Prieur |
Total effects with constrained features. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Kai Yang, Masoud Asgharian, Sahir Bhatnagar |
Accelerated gradient methods for sparse statistical learning with nonconvex penalties. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Thomas Lux |
Estimation of regime-switching diffusions via Fourier transforms. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Marco Alfò, Maria Francesca Marino, Francesca Martella |
Biclustering multivariate discrete longitudinal data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Tabea Rebafka |
Model-based clustering of multiple networks with a hierarchical algorithm. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jungmin Shin, Seunghyun Gwak, Seung Jun Shin, Sungwan Bang |
Simultaneous estimation and variable selection for a non-crossing multiple quantile regression using deep neural networks. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Peter A. Whalley, Daniel Paulin, Benedict J. Leimkuhler |
Randomized time Riemannian Manifold Hamiltonian Monte Carlo. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Kipoong Kim, Sungkyu Jung |
Integrative sparse reduced-rank regression via orthogonal rotation for analysis of high-dimensional multi-source data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Dmytro Perepolkin, Benjamin Goodrich, Ullrika Sahlin |
Hybrid elicitation and quantile-parametrized likelihood. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jose Ameijeiras-Alonso |
A reliable data-based smoothing parameter selection method for circular kernel estimation. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Ziyang Yang, Idris A. Eckley, Paul Fearnhead |
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Joaquín Martínez-Minaya, Haavard Rue |
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Shang-Ying Shiu, Yen-Shiu Chin, Szu-Han Lin, Ting-Li Chen |
Randomized self-updating process for clustering large-scale data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Arjun Lakra, Buddhananda Banerjee, Arnab Kumar Laha |
A data-adaptive method for outlier detection from functional data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Jingjing Jiang, Chunjie Wang, Deng Pan, Xinyuan Song |
Transformation models with informative partly interval-censored data. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari |
Detecting and diagnosing prior and likelihood sensitivity with power-scaling. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Daniel Rudolf, Philip Schär |
Dimension-independent spectral gap of polar slice sampling. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Frank Rotiroti, Stephen G. Walker |
Reversed particle filtering for hidden markov models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Kes Ward, Gaetano Romano, Idris A. Eckley, Paul Fearnhead |
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Xinyu Zhang, Hongwei Shi, Niwen Zhou, Falong Tan, Xu Guo |
Quantile generalized measures of correlation. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Pedro L. Ramos, Nixon Jerez-Lillo, Francisco A. Segovia, Osafu Augustine Egbon, Francisco Louzada 0001 |
Power-law distribution in pieces: a semi-parametric approach with change point detection. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|
1 | Seungwoo Kang, Hee-Seok Oh |
Novel sampling method for the von Mises-Fisher distribution. |
Stat. Comput. |
2024 |
DBLP DOI BibTeX RDF |
|