Results 221 to 230 of about 41,557 (312)

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

Journal of Applied Econometrics, EarlyView.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source

Convergence and stability analysis of the Extended Infinite Horizon Model Predictive Control. [PDF]

PLoS One
Alvarez LA, de Bernardini DF, Gallesco C.   +2 more
europepmc   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

Uniform in Bandwidth Consistency of the <i>L</i>¹-Modal Regression Estimator for High-Dimensional Data. [PDF]

Entropy (Basel)
Almulhim FA, Alamari MB, Laksaci A.
europepmc   +1 more source

A Joint Test of Unconfoundedness and Common Trends

Journal of Applied Econometrics, EarlyView.
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley   +1 more source

Bayesian Model Averaging in Causal Instrumental Variable Models

Journal of Applied Econometrics, EarlyView.
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley   +1 more source

Navigating the unknown: Nanobubbles and the hidden complexity of aerophilic surfaces. [PDF]

Proc Natl Acad Sci U S A
Lü J.
europepmc   +1 more source

Colourings of Uniform Group Divisible Designs and Maximum Packings

Journal of Combinatorial Designs, EarlyView.
ABSTRACT A weak c $c$‐colouring of a design is an assignment of colours to its points from a set of c $c$ available colours, such that there are no monochromatic blocks. A colouring of a design is block‐equitable, if for each block, the number of points coloured with any available pair of colours differ by at most one.
Andrea C. Burgess, Peter Danziger, Diane Donovan, Tara Kemp, James G. Lefevre, David A. Pike, E. Şule Yazıcı   +6 more
wiley   +1 more source

Fixed point approximation for generalized μ-Reich-Suzuki nonexpansive mappings with application. [PDF]

Sci Rep
Ishtiaq T, Batool A, Hussain A, Alsulami H.   +3 more
europepmc   +1 more source

Performance Evaluation of a Premier Resolution HPLC System for Detecting Hemoglobin Constant Spring, Hemoglobin Paksé, and Coexisting α‐ and β‐Thalassemia Mutations

Journal of Clinical Laboratory Analysis, EarlyView.
This study compared Premier Resolution HPLC with Capillary Electrophoresis for detecting HbCS/Hb Paksé variants and coexisting thalassemia mutations. Premier Resolution HPLC demonstrated superior performance with 50% fewer false negative cases (11 vs. 22) compared to Capillary Electrophoresis, particularly in heterozygous cases.
Surada Satthakarn, Wibhasiri Srisuwan, Sitthichai Panyasai   +2 more
wiley   +1 more source