Results 91 to 100 of about 566,893 (298)

A new approach to bootstrap inference in functional coefficient models [PDF]

open access: yes
We introduce a new, factor based bootstrap approach which is robust under heteroskedastic error terms for inference in functional coefficient models. Modeling the functional coefficient parametrically, the bootstrap approximation of an F statistic is ...
Herwartz, Helmut, Xu, Fang
core  

Parametric and nonparametric bootstrap: an analysis of indoor air data from Kuwait

open access: yesKuwait Journal of Science, 2018
This paper discusses the performance of parametric and nonparametric bootstrap for confidence interval (CI) estimation applied to fine particulate matter (PM2.5) data.
Sana BuHamra   +2 more
doaj  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Bootstrap Specification Tests with Dependent Observations and Parameter Estimation Error [PDF]

open access: yes
This paper introduces a parametric specification test for dissusion processes which is based on a bootstrap procedure that accounts for data dependence and parameter estimation error. The proposed bootstrap procedure additionally leads to straightforward
Valentina Corradi, Norman R. Swanson
core  

Seasonal Anomalies in TEHRAN Stock Exchange Returns Non Parametric Bootstrap Approach [PDF]

open access: yesتحقیقات مالی, 2011
Because of the heterogeneity in behavior, in the real world prices may deviate substantially and persistently from their fundamental values. Of course, if these heterogeneous elements play a rather minor role then asset prices and rates of return will be
Mohsen Nazari, Elham Farzanegan
doaj  

RNAi in the Rhizarian Phytopathogen Plasmodiophora brassicae: The Causal Agent of Clubroot Disease in Cruciferous Crops

open access: yesAdvanced Science, EarlyView.
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang   +13 more
wiley   +1 more source

A parametric bootstrap for heavytailed distributions [PDF]

open access: yes
It is known that Efron's resampling bootstrap of the mean of random variables with common distribution in the domain of attraction of the stable laws with infinite variance is not consistent, in the sense that the limiting distribution of the bootstrap ...
Russell Davidson, Adriana Cornea
core  

ON THE COMPARISON OF BAYESIAN INFORMATION CRITERION AND DRAPER'S INFORMATION CRITERION IN SELECTION OF AN ASYMMETRIC PRICE RELATIONSHIP: BOOTSTRAP SIMULATION RESULTS [PDF]

open access: yesRussian Journal of Agricultural and Socio-Economic Sciences, 2013
Alternative formulations of the Bayesian Information Criteria provide a basis for choosing between competing methods for detecting price asymmetry. However, very little is understood about their performance in the asymmetric price transmission modelling ...
Henry de-Graft Acquah, Joseph Acquah
doaj  

Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2−/− Mice

open access: yesAdvanced Science, EarlyView.
The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang   +12 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

open access: yesAdvanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li   +8 more
wiley   +1 more source

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