Results 51 to 60 of about 7,325 (196)

Semiparametric conformal prediction

CoRR
Many risk-sensitive applications require well-calibrated prediction sets over multiple, potentially correlated target variables, for which the prediction algorithm may report correlated errors. In this work, we aim to construct the conformal prediction set accounting for the joint correlation structure of the vector-valued non-conformity scores ...
Ji Won Park, Robert Tibshirani, Kyunghyun Cho   +2 more
openaire   +2 more sources

Mapping Causal Biology: Mendelian Randomization in the Era of Big Data

Med Research, EarlyView.
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen, Chunrun Qu, Zeyu Wang, Jinglin Zhou, Hongwei Liu, Yingjie Li, Bowei Liu, Hao Zhang, Nan Zhang, Jingwei Zhang, Quan Cheng   +10 more
wiley   +1 more source

APLIKASI MODEL REGRESI SEMIPARAMETRIK SPLINE TRUNCATED (Studi Kasus: Pasien Demam Berdarah Dengue (DBD) di Rumah Sakit Puri Raharja)

E-Jurnal Matematika, 2017
Semiparametric regression is a regression model that includes parametric components and nonparametric components in a model. The regression model in this research is truncated spline semiparametric regression with case studies of patients with Dengue ...
NI WAYAN MERRY NIRMALA YANI, I GUSTI AYU MADE SRINADI, I WAYAN SUMARJAYA   +2 more
doaj   +1 more source

Local Eviction Moratoria and the Spread of COVID‐19

Southern Economic Journal, EarlyView.
ABSTRACT At different stages during the initial onset of the COVID‐19 pandemic, various US states and local municipalities enacted eviction moratoria. One of the main aims of these moratoria was to slow the spread of COVID‐19 infections. We deploy a semiparametric difference‐in‐differences approach with an event study specification to examine whether ...
Julia Hatamyar, Christopher F. Parmeter
wiley   +1 more source

Nonparametric Econometrics: The np Package

Journal of Statistical Software, 2008
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
doaj  

Semiparametric tail-index estimation for randomly right-truncated heavy-tailed data [PDF]

Arab Journal of Mathematical Sciences
Purpose – The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error.
Saida Mancer, Abdelhakim Necir, Souad Benchaira   +2 more
doaj   +1 more source

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

Teaching Statistics, EarlyView.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti, Daniele De Martini   +1 more
wiley   +1 more source

Regulation, Taxation, and Resources: Unpacking Greenhouse Gas Emission Drivers Across G7 Economies

Thunderbird International Business Review, EarlyView.
ABSTRACT Advanced economies are under growing pressure to downscale greenhouse gas (GHG) emissions without undermining growth, yet G7 (Group of Seven) nations, representing almost 10% of the world's population, still generate one quarter of global GHGs.
Mohammad Imtiaz Hossain, Md Emon Ahmed, Mohammad Fakhrul Islam, Md. Karimul Alam, Mohammad Abdullah Al Mamun, Md Tarique Kazi   +5 more
wiley   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source

The Political U: New Evidence on the Economic Costs of Hybrid Regimes

Economics &Politics, EarlyView.
ABSTRACT Recent research establishes a positive causal effect from democracy to income, although this evidence relies mostly on binary regime classifications. We extend the identification framework of Acemoglu et al. (2019) to a classification that distinguishes democracies, autocracies, and hybrid regimes for about 170 countries over 1960–2024.
Nauro F. Campos, Fabrizio Coricelli, Marco Frigerio   +2 more
wiley   +1 more source