Results 121 to 130 of about 10,357 (300)
Geometric overdispersion facilitates the integration of ecological data
Abstract Statistical data integration facilitates inference based on the variety of data prevalent in ecology. In particular, integrated distribution models (IDMs) have been proposed for inferring spatial patterns in abundance using combinations of noisy count, presence–absence and presence–only data.
Justin J. Van Ee +4 more
wiley +1 more source
bqror: An R package for Bayesian Quantile Regression in Ordinal Models [PDF]
Prajual Maheshwari +1 more
openalex +1 more source
Abstract Background and aims Within many alcohol prevention interventions, changes in alcohol‐related attitudes (ARA) are often proposed as precursors to changes in drinking behaviour. This study aimed to measure the longitudinal relationship between ARA and behaviour during the implementation of a large‐scale prevention trial.
Andrew Percy +6 more
wiley +1 more source
QUANTILE Threshold Autoregressive time series models
In this paper, we study the estimation and forecasting of the quantile threshold autoregressive time series model. By transforming the optimization problem in the quantile regression into a maximum likelihood estimation, we can impose the Metropolis ...
ZHAO Chao, LI Dong-Fang, TANG Ya-Yong
doaj
Abstract This study examines the adaptive market hypothesis in the prewar and wartime Japanese stock market using a new market capitalization‐weighted price index. First, we find that the degree of market efficiency varies over time and with major historical events. This implies that the hypothesis is supported in this market.
Kenichi Hirayama, Akihiko Noda
wiley +1 more source
Addressing environmental degradation highlights the need for coordinated actions to restore ecological balance. This study examines how fiscal policies (taxation and government expenditure), renewable energy consumption, financial development, and ...
Kwadwo Boateng Prempeh
doaj +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Bayesian bootstrap quantile regression for probabilistic photovoltaic power forecasting [PDF]
Mokhtar Bozorg +5 more
openalex +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source

