Results 111 to 120 of about 231,426 (276)
A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation
We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong +4 more
wiley +1 more source
NONPARAMETRIC ESTIMATION AND TESTING FOR PANEL COUNT DATA WITH INFORMATIVE TERMINAL EVENT. [PDF]
Hu X, Liu L, Zhang Y, Zhao X.
europepmc +1 more source
Nonparametric methods for volatility density estimation
Stochastic volatility modelling of financial processes has become increasingly popular. The proposed models usually contain a stationary volatility process.
Spreij, Peter +2 more
core
Changes in Alcohol Retail Laws and Foot Traffic at Liquor Stores
ABSTRACT We study how expanding alcohol availability at grocery and convenience stores affects consumer traffic in liquor stores by leveraging recent changes in state‐level alcohol distribution laws in a difference‐in‐difference quasi‐experimental design.
Nathan Palardy +3 more
wiley +1 more source
portfolio optimization based on nonparametric estimation methods [PDF]
One of the major issues investors are facing with in capital markets is decision making about select an appropriate stock exchange for investing and selecting an optimal portfolio. This process is done through the risk and expected return assessment.
mahsa ghandehari +2 more
doaj
Nonparametric estimation of marked survival data in the presence of dependent censoring. [PDF]
Sanusi B, Cai J, Hudgens MG.
europepmc +1 more source
Estimation of nonparametric conditional moment models with possibly nonsmooth moments [PDF]
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables.
Demian Pouzo, Xiaohong Chen
core
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui +3 more
wiley +1 more source
Nonparametric estimation of conditional incremental effects
Conditional effect estimation has great scientific and policy importance because interventions may impact subjects differently depending on their characteristics.
McClean Alec +2 more
doaj +1 more source
Bootstrap estimation for nonparametric efficiency estimates [PDF]
This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for nonparametric measures of productive efficiency. Although the methodology is illustrated in terms of technical efficiency measured by output distance functions, the technique can be easily extended to other consistent nonparametric frontier models ...
WILSON, Paul, SIMAR, Leopold
openaire +1 more source

