Robuta

https://www.econstor.eu/handle/10419/45475 EconStor: Nonparametric inference for second order stochastic dominance EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. nonparametric inferencesecond ordereconstorstochasticdominance https://jmlr.org/papers/v25/20-075.html Nonparametric Inference under B-bits Quantization nonparametric inferencebquantization https://ideas.repec.org/p/tse/wpaper/122916.html Identification-Robust Nonparametric Inference in a Linear IV Model Downloadable! For a linear IV regression, we propose two new inference procedures on parameters of endogenous variables that are robust to any identification... nonparametric inferenceidentificationrobustlineariv https://ideas.repec.org/p/hal/journl/hal-04141433.html Identification-Robust Nonparametric Inference in a Linear IV Model Downloadable! For a linear IV regression, we propose two new inference procedures on parameters of endogenous variables that are robust to any identification... nonparametric inferenceidentificationrobustlineariv https://ideas.repec.org/a/cup/etheor/v37y2021i3p537-572_4.html Inference In Dynamic, Nonparametric Models Of Production: Central Limit Theorems For Malmquist... Downloadable! The Malmquist index gives a measure of productivity in dynamic settings and has been widely applied in empirical work. The index is typically... nonparametric models https://ideas.repec.org/p/rut/rutres/200618.html Nonparametric Bootstrap Procedures for Predictive Inference Based on Recursive Estimation Schemes Downloadable! Our objectives in this paper are twofold. First, we introduce block bootstrap techniques that are (first order) valid in recursive estimation... predictive inferencebased onnonparametricbootstrapprocedures https://pmc.ncbi.nlm.nih.gov/articles/PMC5241943/ Inference of Gene Regulatory Networks Using Bayesian Nonparametric Regression and Topology... Gene regulatory networks (GRNs) play an important role in cellular systems and are important for understanding biological processes. Many algorithms have been... gene regulatory networksnonparametric regressioninference https://deepai.org/publication/a-bayesian-nonparametric-approach-for-causal-inference-with-multiple-mediators A Bayesian nonparametric approach for causal inference with multiple mediators | DeepAI Aug 29, 2022 - 08/29/22 - Mediation analysis with contemporaneously observed multiple mediators is an important area of causal inference. Recent approaches ... causal inferencebayesiannonparametricapproach https://ideas.repec.org/p/fth/harver/1772.html Nonparametric Applications of Bayesian Inference The paper evaluates the usefulness of a nonparametric approach to Bayesian inference by presenting two applications. The approach is due to Ferguson (1973,... nonparametricapplicationsbayesianinference https://jmlr.org/papers/v21/19-930.html Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables efficientinferencenonparametrichawkesprocesses https://arxiv.org/abs/1211.2585v2 [1211.2585v2] From Nonparametric Power Spectra to Inference About Cosmological Parameters: A Random... Abstract page for arXiv paper 1211.2585v2: From Nonparametric Power Spectra to Inference About Cosmological Parameters: A Random Walk in the Cosmological...