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ORCIDComputational Statistics, Volume 38
Volume 38, Number 1, March 2023
- Brice Ozenne
, Esben Budtz-Jørgensen, Sebastian Elgaard Ebert:
Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model. 1-23 - Dinh Phamtoan, Tai Vovan:
The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition. 25-51 - Kohei Yoshikawa, Shuichi Kawano:
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization. 53-75 - Kohei Yoshikawa, Shuichi Kawano:
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization. 77-78 - Tengteng Xu, Riquan Zhang, Xiuzhen Zhang:
Estimation of spatial-functional based-line logit model for multivariate longitudinal data. 79-99 - Patrick B. Langthaler, Riccardo Ceccato, Luigi Salmaso, Rosa Arboretti, Arne C. Bathke:
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations. 101-132 - Daniel Shiu:
Efficient computation of tight approximations to Chernoff bounds. 133-147 - Monir El Annas, Badreddine Benyacoub, Mohamed Ouzineb:
Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference. 149-169 - Thuan Nguyen, Jiming Jiang:
Simplified partially observed quasi-information matrix. 171-189 - Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio, Biagio Palumbo, Simone Vantini:
Adaptive smoothing spline estimator for the function-on-function linear regression model. 191-216 - Seunghwan Lee, Sang Cheol Kim, Donghyeon Yu:
An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso. 217-242 - Masahiro Kuroda, Yuichi Mori, Masaya Iizuka:
Speeding up the convergence of the alternating least squares algorithm using vector ε acceleration and restarting for nonlinear principal component analysis. 243-262 - Xiaomeng Qi, Zhangsheng Yu:
Kernel regression for cause-specific hazard models with time-dependent coefficients. 263-283 - Ida Marie Alcantara, Joshua D. Naranjo, Yanda Lang:
Model selection using PRESS statistic. 285-298 - Rui Zhang, Guoyou Qin, Dongsheng Tu:
A robust threshold t linear mixed model for subgroup identification using multivariate T distributions. 299-326 - Martina Sundqvist, Julien Chiquet, Guillem Rigaill:
Adjusting the adjusted Rand Index. 327-347 - Federico Pavone, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari:
Using reference models in variable selection. 349-371 - Xiaoqiong Fang, Andy W. Chen, Derek S. Young:
Predictors with measurement error in mixtures of polynomial regressions. 373-401 - Vicente G. Cancho, Elizbeth C. Bedia, Gauss M. Cordeiro, Fábio Prataviera, Edwin M. M. Ortega, Ana P. J. E. Santo:
A survival regression with cure fraction applied to cervical cancer. 403-418 - Fabrizio Maturo, Rosanna Verde:
Supervised classification of curves via a combined use of functional data analysis and tree-based methods. 419-459 - Toby Dylan Hocking, Anuraag Srivastava:
Labeled optimal partitioning. 461-480 - Sanku Dey, Ahmed Elshahhat, Mazen Nassar:
Analysis of progressive type-II censored gamma distribution. 481-508 - Baihua He, Yanyan Liu, Guosheng Yin, Yuanshan Wu:
Model aggregation for doubly divided data with large size and large dimension. 509-529
Volume 38, Number 2, June 2023
- George Karabatsos:
Approximate Bayesian computation using asymptotically normal point estimates. 531-568 - Mahdi Teimouri:
Fast Bayesian Inference for Birnbaum-Saunders Distribution. 569-601 - Carlos García, Zaida C. Quiroz, Marcos Oliveira Prates:
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima-Peru. 603-621 - Agnese Maria Di Brisco, Enea G. Bongiorno, Aldo Goia, Sonia Migliorati:
Bayesian flexible beta regression model with functional covariate. 623-645 - Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken:
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. 647-674 - Alicja Jokiel-Rokita, Ryszard Magiera:
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process. 675-710 - Pushkal Kumar, Manas Ranjan Tripathy, Somesh Kumar:
Bayesian estimation and classification for two logistic populations with a common location. 711-748 - Wanchuang Zhu, Yanan Fan:
A synthetic likelihood approach for intractable markov random fields. 749-777 - Abdul Salam, Marco Grzegorczyk:
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors. 779-808 - Sweata Sen, Damitri Kundu, Kiranmoy Das:
Variable selection for categorical response: a comparative study. 809-826 - The Tien Mai:
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. 827-843 - Guanyu Hu, Ming-Hui Chen, Nalini Ravishanker:
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models. 845-869 - Peili Li, Min Liu, Zhou Yu:
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems. 871-898 - Shen-Ming Lee, Truong-Nhat Le, Phuoc-Loc Tran, Chin-Shang Li:
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods. 899-934 - Yu Liu, Chin-Shang Li:
A linear spline Cox cure model with its applications. 935-954 - Zezhun Chen, Angelos Dassios, George Tzougas:
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression. 955-977 - Yuyang Liu, Pengfei Pi, Shan Luo:
A semi-parametric approach to feature selection in high-dimensional linear regression models. 979-1000 - Kyu Hyun Kim, Daniel J. Caplan, Sangwook Kang:
Smoothed quantile regression for censored residual life. 1001-1022 - Tahereh Khodamoradi, Maziar Salahi:
Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique. 1023-1040 - Zhonglu Huang, Gengsheng Qin:
Influence function-based confidence intervals for the Kendall rank correlation coefficient. 1041-1055 - Lu-ning Zhang, Jian-wei Liu, Xin Zuo:
Doubly time-dependent Hawkes process and applications in failure sequence analysis. 1057-1093 - Guangbao Guo, Chunjie Wei, Guoqi Q. Qian:
Sparse online principal component analysis for parameter estimation in factor model. 1095-1116
Volume 38, Number 3, September 2023
- Mine Çetinkaya-Rundel, Wendy Martinez:
The 2018 data challenge expo of the American statistical association. 1117-1122 - Darren Keeley, Eric A. Suess:
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain. 1123-1134 - Jill F. Lundell, Brennan Bean, Jürgen Symanzik:
Let's talk about the weather: a cluster-based approach to weather forecast accuracy. 1135-1155 - Benjamin Schweitzer, Robert C. Garrett, Nichole Rook, Thomas J. Fisher:
A spatial extension of weather forecasts. 1157-1171 - Dooti Roy, Gregory Vaughan, Jianan Hui, Junxian Geng:
An exploration of National Weather Service daily forecasts using R Shiny. 1173-1191 - Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao:
Unsupervised learning on U.S. weather forecast performance. 1193-1213 - Phillip A. Jang, David S. Matteson:
Spatial correlation in weather forecast accuracy: a functional time series approach. 1215-1229 - Alberto Hernández, Maikol Solís:
Geometric goodness of fit measure to detect patterns in data point clouds. 1231-1253 - Yanan Yan, Yuehan Yang:
Community detection for New York stock market by SCORE-CCD. 1255-1282 - Morteza Amini, Afarin Bayat, Reza Salehian:
hhsmm: an R package for hidden hybrid Markov/semi-Markov models. 1283-1335 - Ning Zhang, Jin Yang:
Sparse precision matrix estimation with missing observations. 1337-1355 - Alan Riva-Palacio, Ramsés H. Mena, Stephen G. Walker:
On the estimation of partially observed continuous-time Markov chains. 1357-1389 - Luca Brusa, Francesco Bartolucci, Fulvia Pennoni:
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models. 1391-1424 - Luca Brusa, Francesco Bartolucci, Fulvia Pennoni:
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models. 1425 - Jonathan Gillard, Emily O'Riordan, Anatoly Zhigljavsky:
Polynomial whitening for high-dimensional data. 1427-1461 - V. F. Miranda-Soberanis, Thomas W. Yee:
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression. 1463-1485 - Giuseppe Pandolfo, Antonio D'Ambrosio:
Clustering directional data through depth functions. 1487-1506 - Antonio Elías, Raúl Jiménez, Han Lin Shang:
Depth-based reconstruction method for incomplete functional data. 1507-1535 - Merve Basol, Dincer Goksuluk, Ahmet Ergun Karaagaoglu:
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies. 1537-1553 - Mahmoud Aldeni, John Wagaman, Mohamed Amezziane, S. Ejaz Ahmed:
Pretest and shrinkage estimators for log-normal means. 1555-1578 - Riikka Numminen, Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola:
Quicksort leave-pair-out cross-validation for ROC curve analysis. 1579-1595 - Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas:
Parameter-wise co-clustering for high-dimensional data. 1597-1619
Volume 38, Number 4, December 2023
- Daniel Goldstein, Elyzabeth Gaumer, Wendy Martinez:
The 2019 data challenge expo of the American Statistical Association. 1621-1627 - Xiang Shen, Shunyan Luo, Mingze Zhang:
House quality index construction and rent prediction in New York City with interactive visualization and product design. 1629-1641 - Benjamin Schweitzer, Robert C. Garrett, Lydia Carter, Alison Tuiyott, Karsten Maurer, Thomas J. Fisher:
An analysis of the impact of rent control on New York City housing. 1643-1656 - Alison Tuiyott, Robert C. Garrett, Lydia Carter, Benjamin Schweitzer, Karsten Maurer, Thomas J. Fisher:
Immigrant residency and happiness in New York City. 1657-1668 - Damien Chambon, Jacob Gerszten:
A statistical framework for analyzing housing quality: a case study of New York City. 1669-1685 - Jhonatan Medri, Braden D. Probst, Jürgen Symanzik:
Housing variables and immigration: an exploratory analysis in New York City. 1687-1717
- Jhonatan Medri, Braden D. Probst, Jürgen Symanzik:
Correction: Housing variables and immigration: an exploratory analysis in New York City. 1719 - Hai-Bin Wang, Jian Wang:
An exact sampler for fully Baysian elastic net. 1721-1734 - Nicholas Seedorff, Grant Brown, Breanna Scorza, Christine A. Petersen:
Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques. 1735-1769 - Jurel K. Yap, Iris Ivy M. Gauran:
Bayesian variable selection using Knockoffs with applications to genomics. 1771-1790 - Cristian D. Correa-Álvarez, Juan Carlos Salazar-Uribe, Luis R. Pericchi Guerra:
Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students. 1791-1810 - Zejun Sun, Guang-Hui Zheng:
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map. 1811-1849 - Zhengzhi Lin, Yueyao Wang, Yili Hong:
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning. 1851-1877 - Christian Soize:
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures. 1879-1925 - Giulia Vannucci, Anna Gottard:
An evolutionary estimation procedure for generalized semilinear regression trees. 1927-1946 - Woo Young Shin, Yoonsuh Jung:
Deep support vector quantile regression with non-crossing constraints. 1947-1976 - Iris Bennett, Donald E. K. Martin, Soumendra Nath Lahiri:
Fitting sparse Markov models through a collapsed Gibbs sampler. 1977-1994 - Alessandro Languasco, Mauro Migliardi:
On the fast computation of the Dirichlet-multinomial log-likelihood function. 1995-2013 - Massimo Bilancia, Michele Di Nanni, Fabio Manca, Gianvito Pio:
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering. 2015-2051 - Zonglong Bai, Jinwei Sun:
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery. 2053-2074 - Emanuele Aliverti, Reinaldo Boris Arellano-Valle, Fereshte Kahrari, Bruno Scarpa:
A flexible two-piece normal dynamic linear model. 2075-2096 - Fernando Llorente, Luca Martino, David Delgado:
Target-aware Bayesian inference via generalized thermodynamic integration. 2097-2119
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