Results 101 to 110 of about 24,206 (303)

Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions [PDF]

open access: yes
In this paper we propose a method for determining the number of regimes in threshold autoregressive models using smooth transition autoregression as a tool.
Strikholm, Birgit, Teräsvirta, Timo
core  

Maximum kernel likelihood estimation [PDF]

open access: yes, 2008
We introduce an estimator for the population mean based on maximizing likelihoods formed by parameterizing a kernel density estimate. Due to these origins, we have dubbed the estimator the maximum kernel likelihood estimate (mkle). A speedy computational
Jaki, Thomas, West, R. Webster
core  

Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters

open access: yesAgribusiness, EarlyView.
ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen   +2 more
wiley   +1 more source

Development of a formula for estimated glomerular filtration rate in pregnant women from physiological hyperfiltration of serum creatinine

open access: yesScientific Reports
Increased body fluids during pregnancy complicates the application of estimated glomerular filtration rate (eGFR) formulas that are based on body surface area.
Kwangjin Ahn   +7 more
doaj   +1 more source

Association between the dietary inflammatory index and depressive symptoms in adults with cardiovascular–kidney–metabolic syndrome: evidence of metabolic syndrome as a mediator

open access: yesFrontiers in Nutrition
BackgroundThis study aims to investigate the association between the dietary inflammatory index (DII) and depressive symptoms (Deps) in adults with cardiovascular–kidney–metabolic (CKM).MethodsUsing data from the National Health and Nutrition Examination
Ruo-Nan Tian   +10 more
doaj   +1 more source

Consistent LM-Tests for Linearity Against Compound Smooth Transition Alternatives [PDF]

open access: yes
We develop LM-tests of linearity that are consistent against a class of Compound Smooth Transition Autoregressive (CoSTAR) models of the conditional mean.
Jonathan B. Hill
core  

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

open access: yesAgribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever   +2 more
wiley   +1 more source

Efficient Estimation of Semiparametric Conditional Moment Models with Possibly Nonsmooth Residuals [PDF]

open access: yes
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (theta) and unknown functions (h) of endogenous variables.
Demian Pouzo, Xiaohong Chen
core   +6 more sources

Measuring efficiency of Tunisian schools in the presence of quasi-fixed inputs: A bootstrap data envelopment analysis approach [PDF]

open access: yes
The objective of this paper is to measure the efficiency of high schools in Tunisia. We use a statistical Data Envelopment Analysis (DEA)-bootstrap approach with quasi-fixed inputs to estimate the precision of our measure.
Essid, Hédi   +2 more
core   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

open access: yesAdvanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta   +3 more
wiley   +1 more source

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