Results 81 to 90 of about 2,902,778 (234)

Reducing data processing effort in camera trap density estimation: Extending the REST model by explicitly modelling animal detection processes

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Accurate and reliable estimation of wildlife population density is fundamental to effective conservation and management. While camera traps show potential for monitoring ground‐dwelling mammal densities, labour‐intensive data processing remains a significant constraint. Ideally, conservation efforts would benefit from the continuous monitoring
Yoshihiro Nakashima   +2 more
wiley   +1 more source

Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing [PDF]

open access: yes, 2016
We show how the notion of message passing can be used to streamline the algebra and computer coding for fast approximate inference in large Bayesian semiparametric regression models.
M. Wand
semanticscholar   +1 more source

Simultaneous detection of gradual and abrupt structural changes in Bayesian longitudinal modelling using entropy and model fit measures

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although individuals may exhibit both gradual and abrupt changes in their dynamic properties as shaped by both slowly accumulating influences and acute events, existing statistical frameworks offer limited capacity for the simultaneous detection and representation of these distinct change patterns.
Yanling Li   +3 more
wiley   +1 more source

Efficient semiparametric estimation of a partially linear quantile regression model [PDF]

open access: yes, 2003
This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear. The paper develops a simple estimator of the parametric component of the conditional quantile.
Lee, S
core   +1 more source

Semiparametric Efficiency Bound for Models of Sequential Moment Restrictions Containing Unknown Functions [PDF]

open access: yes
This paper computes the semiparametric efficiency bound for finite dimensional parameters identified by models of sequential moment restrictions containing unknown functions.
Chunrong Ai, Xiaohong Chen
core   +3 more sources

Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification

open access: yesEconometrics, 2015
Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and the semiparametric efficiency bound for the quantile regression parameter β (
Ying-Ying Lee
doaj   +1 more source

Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression

open access: yesEntropy, 2022
This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model.
Syed Ejaz Ahmed   +2 more
doaj   +1 more source

Identification and Estimation of Large Network Games with Private Link Information

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We study the identification and estimation of large network games in which individuals choose continuous actions while holding private information about their links and payoffs. Extending the framework of Galeotti et al., we build a tractable empirical model of such network games and show that the parameters in individual payoffs are ...
Hülya Eraslan, Xun Tang
wiley   +1 more source

Semiparametric posterior limits [PDF]

open access: yes, 2013
We review the Bayesian theory of semiparametric inference following Bickel and Kleijn (2012) and Kleijn and Knapik (2013). After an overview of efficiency in parametric and semiparametric estimation problems, we consider the Bernstein-von Mises theorem ...
Kleijn, B. J. K.
core  

Quantifying the effects of passenger-level heterogeneity on transit journey times

open access: yesData-Centric Engineering, 2020
In this paper, we apply flexible data-driven analysis methods on large-scale mass transit data to identify areas for improvement in the engineering and operation of urban rail systems.
Ramandeep Singh   +2 more
doaj   +1 more source

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