Nonparametric kernel density estimation

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Bayesian Inference for Multivariate Monotone Densities

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source

Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates. [PDF]

J Am Stat Assoc
Guo W, Wang T.
europepmc +1 more source

Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach

Journal of the Science of Food and Agriculture, Volume 106, Issue 11, Page 6766-6778, 30 August 2026.
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley +1 more source

Statistical Evidence for Bimodal Age Distribution in Pediatric Orchiopexy: Support for Congenital and Acquired Cryptorchidism Subtypes. [PDF]

Cureus
Ohashi K, Yoshizawa S, Kogure K.
europepmc +1 more source

Bayesian Image Mediation Analysis. [PDF]

J Am Stat Assoc
Xu Y, Johnson TD, Heitzeg M, Kang J.
europepmc +1 more source

Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data. [PDF]