Results 151 to 160 of about 9,950,038 (297)

Land Use Policy and Racial Segregation

International Studies of Economics, EarlyView.
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley   +1 more source

Achieving a Near-Infrared Absorption by A−DA’D−A Type Isoindigo-Based Small Molecular Acceptors for Organic Photovoltaics

Molecules
Isoindigo (IID)-based non-fullerene acceptors, known for their broad absorption spectra and high charge carrier mobilities, play a crucial role in organic photovoltaics. In this study, two A−DA’D−A type unfused ring acceptors (URAs), IDC8CP-IC and IDC6CP-
Hui Liu, Yu Wu, Dong-Nai Ye, Na Chen, Xu-Min Huang, Shi-Yong Liu   +5 more
doaj   +1 more source

Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias

International Studies of Economics, EarlyView.
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley   +1 more source

A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models

Journal of Applied Econometrics, EarlyView.
ABSTRACT This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and
Ivan Korolev
wiley   +1 more source

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data. [PDF]

PLoS One, 2020
Huang L, Yin Y, Fu Z, Zhang S, Deng H, Liu D.   +5 more
europepmc   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

Count Data Models With Heterogeneous Peer Effects Under Rational Expectations

Journal of Applied Econometrics, EarlyView.
ABSTRACT This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends.
Aristide Houndetoungan
wiley   +1 more source

Integrative Genomics Reveals Causal Pleiotropy and Therapeutic Opportunities at the Interface of Acute Pancreatitis and Infection

Journal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
ABSTRACT Background Understanding the genetic links between acute pancreatitis (AP) and its infectious comorbidities is crucial for prognosis and therapy, yet remains underexplored. Methods We conducted a comprehensive post‐GWAS analysis using large‐scale summary statistics for AP and 16 infectious diseases. To pinpoint pleiotropic genes, we integrated
Bo Zou, Hao Jiang, Jingsheng Ruan, Daifeng Yang, Xing Chen, Shanshan Cai, Xinglin Yi   +6 more
wiley   +1 more source

Intrusion detection method for IoT in heterogeneous environment

Tongxin xuebao
In order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel ...
LIU Jing, MU Zelin, LAI Yingxu
doaj   +2 more sources

Loss‐of‐Function Variants in CPT1C: No Support for a Causal Role in Hereditary Spastic Paraplegia

Movement Disorders, EarlyView.
Abstract Background Hereditary spastic paraplegias (HSPs) are neurodegenerative disorders characterized by lower‐limb spasticity. Pathogenic variants in CPT1C have been implicated in HSP. Objective The objective of this study was to assess whether CPT1C loss‐of‐function (LOF) variants are causally associated with HSP.
Rui Zhu, Lang Liu, Mehrdad A. Estiar, Farnaz Asayesh, Jamil Ahmad, Meron Teferra, Grace Yoon, Mark Tarnopolsky, Kym M. Boycott, Nicolas Dupre, Patrick A. Dion, Oksana Suchowersky, Albena Jordanova, Yi‐Chung Lee, Giovanni Stevanin, Stephan Zuchner, Guy A. Rouleau, Ziv Gan‐Or   +17 more
wiley   +1 more source