Results 211 to 220 of about 117,399 (299)

Depression, Anxiety and Criminal Behaviour Between Ages 32 and 48: A Propensity Score Matching Analysis From the Cambridge Study in Delinquent Development

Criminal Behaviour and Mental Health, EarlyView.
ABSTRACT Background Depression, anxiety and criminal behaviour are often correlated, but the direction and nature of these associations remain contested. Aims To investigate the temporal relationships between depression and/or anxiety and criminal behaviour at age 32 and depression and/or anxiety and criminal behaviour at age 48.
Kim Reising, Maria M. Ttofi
wiley   +1 more source

Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks. [PDF]

Electron J Stat, 2016
Gray-Davies T, Holmes CC, Caron F.
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Berry-Esseen bounds of weighted kernel estimator for a nonparametric regression model based on linear process errors under a LNQD sequence. [PDF]

J Inequal Appl, 2018
Ding L, Chen P, Li Y.
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Bayesian nonparametric regression with varying residual density. [PDF]

Ann Inst Stat Math, 2014
Pati D, Dunson DB.
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Benchmark Dose Analysis via Nonparametric Regression Modeling. [PDF]

Risk Anal, 2014
Piegorsch WW, Xiong H, Bhattacharya RN, Lin L.   +3 more
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Adaptive Confidence Bands for Nonparametric Regression Functions. [PDF]

J Am Stat Assoc, 2014
Cai TT, Low M, Ma Z.
europepmc   +1 more source