Results 111 to 120 of about 2,756 (146)

Kernel-Based Nonparametric Tests For Shape Constraints

arXiv.org
We propose a kernel-based nonparametric framework for mean-variance optimization that enables inference on economically motivated shape constraints in finance, including positivity, monotonicity, and convexity.
Rohan Sen
semanticscholar   +1 more source

A nonparametric binomial likelihood approach for causal inference in instrumental variable models

Journal of the Korean Statistical Society, 2023
Kwonsang Lee, B. Bhattacharya, Jing Qin, D. Small   +3 more
semanticscholar   +1 more source

Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference

Journal of the American Statistical Association
Generative artificial intelligence (AI) has transformed the biomedical imaging field through image synthesis, addressing challenges of data availability, privacy, and diversity in biomedical research.
Zhiling Gu, Shan Yu, Guannan Wang, Lily Wang   +3 more
semanticscholar   +1 more source

Nonparametric Statistical Inference

International Encyclopedia of Statistical Science, 2020
J. Gibbons, S. Chakraborti
semanticscholar   +1 more source

Estimation and Inference for a Semiparametric Time–Varying Panel Data Model

Journal of Business & Economic Statistics
This article introduces a new semiparametric panel data model that accounts for time-varying coefficients and aligns with recent advancements in factor models featuring nonparametric loading functions.
Fei Liu
semanticscholar   +1 more source

Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach

Science China Mathematics, 2022
Mian Huang, Yue-Lieh Huang, W. Yao
semanticscholar   +1 more source

Group inference of high-dimensional single-index models

Journal of nonparametric statistics (Print)
For the supervised and semi-supervised settings, a group inference method is proposed for regression parameters in high-dimensional semi-parametric single-index models with an unknown random link function.
Dongxiao Han, Miao Han, Meiling Hao, Liuquan Sun, Siyang Wang   +4 more
semanticscholar   +1 more source

Difference-in-Discontinuities: Estimation, Inference and Validity Tests

Social Science Research Network
This paper provides a formal econometric framework behind the newly developed difference-in-discontinuities design (DiDC). Despite its increasing use in applied research, there are currently limited studies of its properties.
Pedro Picchetti, Cristine C. X. Pinto, Stephanie T. Shinoki   +2 more
semanticscholar   +1 more source

Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression

Sankhya A, 2017
Fuxia Cheng
semanticscholar   +2 more sources

Nonparametric Quantile Inference for Cause-specific Residual Life Function Under Length-biased Sampling

Acta Mathematicae Applicatae Sinica (English Series), 2020
Feipeng Zhang, Caiyun Fan, Yong Zhou
semanticscholar   +1 more source