Simulation of truncated normal variables

23 July 2009

Papers citing "Simulation of truncated normal variables"

38 / 38 papers shown

Title
Online Convex Optimization with Memory and Limited Predictions Lintao Ye Zhengmiao Wang Zhi-Wei Liu Ming Chi Xiaoling Wang Housheng Su 70 0 0 31 Oct 2024
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies Jakob Schwerter Ketevan Gurtskaia Andrés Romero Birgit Zeyer-Gliozzo Markus Pauly 65 4 0 17 Jan 2024
Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-based Winter Road Surface Condition Monitoring Risto Ojala Alvari Seppänen 26 9 0 02 Oct 2023
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks Nikolaos Koursioumpas Lina Magoula Nikolaos Petropouleas Alexandros-Ioannis Thanopoulos Theodora Panagea Nancy Alonistioti M. A. Gutierrez-Estevez R. Khalili 45 1 0 21 Aug 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Shion Takeno Masahiro Nomura Masayuki Karasuyama 94 19 0 03 Feb 2023
Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach Sets Shadi Haddad A. Halder 59 0 0 04 Oct 2022
A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly Iman Nodozi Jared O’Leary A. Mesbah A. Halder 43 11 0 19 Aug 2022
A useful family of fat-tailed distributions R. Baker 11 1 0 04 Feb 2022
The Coupled Rejection Sampler Adrien Corenflos Simo Särkkä 66 4 0 24 Jan 2022
Moments and random number generation for the truncated elliptical family of distributions Katherine A. L. Valeriano C. E. Galarza L. A. Matos 18 5 0 17 Dec 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee Narendra Ahuja A. Cherian UQCV VGen BDL 110 18 0 06 Oct 2021
BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R Chuji Luo M. Daniels 25 1 0 28 Jun 2021
Uncertainty quantification for fault slip inversion J. C. Montesinos-López A. Capella J. Christen J. Tago 15 0 0 09 Dec 2020
A Latent Slice Sampling Algorithm Yanxin Li S. Walker 40 7 0 16 Oct 2020
A Note on the Sum of Non-Identically Distributed Doubly Truncated Normal Distributions Hao Chen Lanshan Han Alvin Lim 10 2 0 18 Aug 2020
Minimum Detectable Effect Size Computations for Cluster-Level Regression Discontinuity: Quadratic Functional Form and Beyond Metin Buluş 20 0 0 28 Oct 2019
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks Qinliang Su X. Liao Lawrence Carin 49 16 0 18 Sep 2017
General Latent Feature Models for Heterogeneous Datasets Isabel Valera Melanie F. Pradier Maria Lomeli Zoubin Ghahramani 80 18 0 12 Jun 2017
Objective Bayesian analysis for the multivariate skew-t model A. Parisi B. Liseo 17 9 0 03 May 2017
An unsupervised bayesian approach for the joint reconstruction and classification of cutaneous reflectance confocal microscopy images Abdelghafour Halimi H. Batatia J. L. Digabel G. Josse J. Tourneret 49 14 0 04 Mar 2017
Unsupervised Learning with Truncated Gaussian Graphical Models Qinliang Su X. Liao Chunyuan Li Zhe Gan Lawrence Carin 43 8 0 15 Nov 2016
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model Alexander Terenin Shawfeng Dong D. Draper 86 40 0 15 Aug 2016
Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions Yulai Cong Bo Chen Mingyuan Zhou 80 47 0 16 Jul 2016
A Corrected and More Efficient Suite of MCMC Samplers for the Multinomal Probit Model X. Jiao David van Dyk 26 13 0 29 Apr 2015
Computation of Gaussian orthant probabilities in high dimension James Ridgway 92 22 0 05 Nov 2014
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities T. Tran Dinh Q. Phung Svetha Venkatesh 41 19 0 01 Aug 2014
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis T. Tran Dinh Q. Phung Svetha Venkatesh 39 8 0 31 Jul 2014
Efficient Bayesian inference for long memory processes T. Graves R. Gramacy C. Franzke N. Watkins 53 2 0 12 Mar 2014
Systematic Physics Constrained Parameter Estimation of Stochastic Differential Equations D. Peavoy C. Franzke Gareth O. Roberts 85 19 0 06 Dec 2013
Efficient Sampling from Time-Varying Log-Concave Distributions Hariharan Narayanan Alexander Rakhlin 56 47 0 23 Sep 2013
Approximating the mean of a truncated normal distribution K. Koutroumbas K. Themelis A. Rontogiannis 61 2 0 02 Jul 2013
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric Xing BDL 161 159 0 05 Oct 2012
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians Ari Pakman Liam Paninski 147 225 0 20 Aug 2012
Fast simulation of truncated Gaussian distributions Nicolas Chopin 89 138 0 30 Jan 2012
On a Class of Shrinkage Priors for Covariance Matrix Estimation Hao Wang Natesh S. Pillai 74 28 0 15 Sep 2011
Sequential Monte Carlo EM for multivariate probit models G. Moffa Jack Kuipers 69 9 0 12 Jul 2011
On-line Spot Volatility-Estimation and Decomposition with Nonlinear Market Microstructure Noise Models R. Dahlhaus Jan C. Neddermeyer 139 13 0 09 Jun 2010
Simulation-based Regularized Logistic Regression R. Gramacy Nicholas G. Polson 171 68 0 19 May 2010