Results 41 to 50 of about 8,657 (149)
Nonparametric inference for Poisson‐Laguerre tessellations
Abstract In this paper, we consider statistical inference for Poisson‐Laguerre tessellations in ℝd$$ {\mathbb{R}}^d $$. The object of interest is a distribution function F$$ F $$ which describes the distribution of the arrival times of the generator points.
Thomas van der Jagt +2 more
wiley +1 more source
AeroGP: Machine Learning How Aerosols Impact Regional Climate
Abstract Aerosol particles from both natural and anthropogenic sources play a critical role in the Earth's climate by interacting with solar radiation and clouds. Anthropogenic aerosol and precursor emissions have historically exerted a global cooling effect, which has partially offset the warming from concurrent greenhouse gas emissions.
Maura Dewey +9 more
wiley +1 more source
Control Variables, Discrete Instruments, and Identification of Structural Functions
Control variables provide an important means of controlling for endogeneity in econometric models with nonseparable and/or multidimensional heterogeneity. We allow for discrete instruments, giving identification results under a variety of restrictions on
Newey, Whitney, Stouli, Sami
core +1 more source
Comparison of GLUE Weighting Methods for Uncertainty Estimation in Hydrologic Modeling
ABSTRACT The generalized likelihood uncertainty estimation (GLUE) framework has widely been used to quantify uncertainty in hydrologic modeling. Subjective factors such as likelihood function and threshold values affect the performance of this framework.
Aboalhasan Fathabadi +2 more
wiley +1 more source
Optimal No-regret Learning in Repeated First-price Auctions
We study online learning in repeated first-price auctions with censored feedback, where a bidder, only observing the winning bid at the end of each auction, learns to adaptively bid in order to maximize her cumulative payoff.
Han, Yanjun +2 more
core
Abstract INTRODUCTION Polygenic risk score (PRS) assesses genetic risk for diseases, yet some high‐risk individuals avoid illness while low‐risk individuals develop it. We hypothesize that unknown counterfactors may reverse PRS predictions, offering insights into disease mechanisms and interventions.
Xiaoyang Li +6 more
wiley +1 more source
New Entropy Estimator with an Application to Test of Normality
In the present paper we propose a new estimator of entropy based on smooth estimators of quantile density. The consistency and asymptotic distribution of the proposed estimates are obtained. As a consequence, a new test of normality is proposed.
Bouzebda, Salim +3 more
core +2 more sources
ABSTRACT This paper describes a novel method for combining revealed preference analysis in the tradition of Afriat (1967, International Economic Review, 8: 76–77) with a statistical demand model. The approach is illustrated with an analysis of the labor supply of the nonneoclassical taxi drivers described in Farber (2005, Journal of Political Economy ...
Ian Crawford
wiley +1 more source
S. Cheung, I. J. Pesigan, Weng Ngai Vong
semanticscholar +1 more source
Abstract During the last four decades, global warming has statistically significant intensified extreme precipitation events in the Midwestern United States (defined here as the region covering Illinois, Indiana, Ohio, and Kentucky), leading to increased risks to human life, property, and infrastructure.
Trung Nguyen +8 more
wiley +1 more source

