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                             33 results found
no title author magazine year volume issue page(s) type
1 An improved bisection-type algorithm for control chart calibration Zago, Daniele
35 4 article
2 An Online Updating Approach for Estimating and Testing Mediation Effects with Big Data Streams Bai, Xueyan
35 4 article
3 A sparse PAC-Bayesian approach for high-dimensional quantile prediction Mai, The Tien
35 4 article
4 Bayesian quantile regression model with linear inequality constraints Yu, Jialei
35 4 article
5 Distributed empirical likelihood inference with privacy guarantees Liu, Qianqian
35 4 article
6 Estimating the number of true null hypotheses based on change point of observed p values Jin, Lishuai
35 4 article
7 Estimation of two-layer Gaussian mixture model for streaming longitudinal data in Bayesian framework Zhao, Xin
35 4 article
8 Extended fiducial inference for individual treatment effects via deep neural networks Kim, Sehwan
35 4 article
9 Gradient boosting for generalised additive mixed models Knieper, Lars
35 4 article
10 Gradient-free Gibbs sampler for shallow-wide Bayesian neural networks Han, Geonhee
35 4 article
11 Graph sub-sampling for divide-and-conquer algorithms in large networks Yanchenko, Eric
35 4 article
12 High order expansion method for Kuiper’s Vn statistic in goodness-of-fit test Zhang, Hong-Yan
35 4 article
13 Learning from data’s evolution in normal equations: the DECK-principle and equations’ adjustment Yatracos, Yannis G.
35 4 article
14 Local Polynomial Lp-norm Regression Tazik, Ladan
35 4 article
15 Mean-restricted Matrix-variate Normals with an application to clustering Berrettini, Marco
35 4 article
16 Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach Li, Jinqing
35 4 article
17 Multivariate two-sample tests via random projection Shi, Xiangyu
35 4 article
18 Nonlinear Functional Sufficient Dimension Reduction via Principal Fitted Components Kim, Minjee
35 4 article
19 Nonlinear principal component analysis for two-dimensional functional data using neural networks Chen, Xinran
35 4 article
20 Nudging state-space models for Bayesian filtering under misspecified dynamics González, Fabián
35 4 article
21 Numerical Generalized Randomized HMC processes for restricted domains Kleppe, Tore Selland
35 4 article
22 On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise dos S. Sousa, Alex Rodrigo
35 4 article
23 On sufficient dimension reduction methods based on a graphical model with non-concave penalty Park, Yujin
35 4 article
24 Penalized quadratic inference functions estimation for fixed effects partially linear single index spatial error model Li, Fen
35 4 article
25 Quantile least squares: a flexible approach for robust estimation and validation of location-scale families Adjieteh, Mohammed
35 4 article
26 Sequential Bayesian Registration for Functional Data Kim, Yoonji
35 4 article
27 Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm Zgodic, Anja
35 4 article
28 The second–derivative lower–bound function (SeLF) algorithm and three acceleration techniques for maximization with strongly stable convergence Tian, Guo-Liang
35 4 article
29 Two-armed Bandit Bootstrap for Model-free Equivalent Rank Test Xu, Shuoxun
35 4 article
30 Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four Hameed, Mohammed Saif Ismail
35 4 article
31 Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method Horst, Andreas
35 4 article
32 Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions Pintado, Maria F.
35 4 article
33 Wiener-type integral approximation for sampling distributions of irregularly spaced spatial data Zhang, Shibin
35 4 article
                             33 results found
 
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