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

