Results 71 to 80 of about 123,594 (283)

Chi-Square and Student Bridge Distributions and the Behrens–Fisher Statistic

open access: yesStats, 2020
We prove that the Behrens–Fisher statistic follows a Student bridge distribution, the mixing coefficient of which depends on the two sample variances only through their ratio.
Wolf-Dieter Richter
doaj   +1 more source

Long and Short Memory Conditional Heteroscedasticity in Estimating the Memory Parameter of Levels - (Now published in Econometric Theory, 15 (1999), pp.299-336.) [PDF]

open access: yes
Semiparametric estimates of long memory seem useful in the analysis of long financial time series because they are consistent under much broader conditions than parametric estimates.
Marc Henry, Peter M Robinson
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

The relation between the level and uncertainty of inflation [PDF]

open access: yes
This paper focus on the problems faced in the empirical investigation of the relation between the level and volatility of inflation. Monthly inflation series seem to be affected by both the presence of outliers and conditional heteroscedasticity.
Ester Ruiz, Fernando Lorenzo
core  

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Inactivation kinetics of selected pathogenic and non-pathogenic bacteria by aqueous ozone to validate minimum usage in purified water

open access: yesFrontiers in Microbiology
Ozone is often used as an antimicrobial agent at the final step in purified water processing. When used in purified bottled water manufacturing, residual ozone should not exceed 0.4 mg/L, per US-FDA regulations.
Yuqian Lou   +7 more
doaj   +1 more source

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra   +3 more
wiley   +1 more source

A preclinical mouse model mimicking the ovarian cancer‐induced estrogen deficiency‐depression axis

open access: yesAnimal Models and Experimental Medicine, EarlyView.
A preclinical mouse model of ovarian cancer–related depression was developed by combining intraperitoneal tumor cell injection, ovariectomy, and chronic restraint stress. The model replicates key clinical features including estrogen deficiency, depressive‐like behaviors, and tumor progression, and provides a reliable tool for studying the endocrine ...
Jiamin Liu   +6 more
wiley   +1 more source

Degeneracy in Heteroscedastic Regression Models

open access: yesJournal of Multivariate Analysis, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Kim-Hung, Chan, Nai Ng
openaire   +1 more source

Bayesian Estimation of Unknown Regression Error Heteroscedasticity [PDF]

open access: yes
We propose a Bayesian procedure to estimate heteroscedastic variances of the regression error term, when the form of heteroscedasticity is unknown. We use prior information that is elicited from the well-known Eicker-White Heteroscedasticity Consistent ...
Hiroaki Chigira, Tsunemasa Shiba
core  

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