Results 121 to 130 of about 16,074,262 (296)

AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICY UNDER ERROR-TERM NON-NORMALITY [PDF]

This paper explores the impact of error-term non-normality on the performance of the normal-error Generalized Autoregressive Conditional Heteroskedastic (GARCH) model under small and moderate sample sizes.
Ramirez, Octavio A.
core  

Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]

, 2006
Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core   +1 more source

Predicting Step 2 CK Performance Using Automated Feature Selection and Nested Cross-Validation

Journal of Medical Education and Curricular Development
Background Given the recent transition of the USMLE Step 1 exam to a pass/fail system, evaluative emphasis is expected to shift toward the USMLE Step 2 Clinical Knowledge (USMLE-CK) exam, prompting the need for advanced predictive models.
Padraig Mark Healy, Syed Latifi
doaj   +1 more source

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

Advanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English, Dorothea Böken, Matthew W. Cotton, Matthew R. Cheetham, Johanna S. Jackson, Georg Meisl, John S. H. Danial, Paul M. Matthews, Nurun N. Fancy, David Klenerman   +9 more
wiley   +1 more source

TNAP and PHOSPHO1 Function Synergistically to Afford Critical Control Over the Mineralization of the Postnatal Murine Skeleton

Advanced Science, EarlyView.
Biomineralization underpins skeletal development, yet its molecular control remains incompletely understood. Using a novel murine knockout model, this study reveals the essential and complementary roles of PHOSPHO1 and TNAP in postnatal skeletal development.
Lucie E. Bourne, Aikta Sharma, Scott Dillon, Jacob Keen, Soher N. Jayash, Natalie Crump, Lucinda A.E. Evans, Maya Karmali, Worachet Promruk, Claire E. Clarkin, Sonoko Narisawa, Louise Stephen, Brian L. Foster, José Luis Millán, Colin Farquharson, Katherine A. Staines   +15 more
wiley   +1 more source

Random Covariance Heterogeneity in Discrete Choice Models [PDF]

The area of discrete choice modelling has developed rapidly in recent years. In particular, continuing refinements of the Generalised Extreme Value (GEV) model family have permitted the representation of increasingly complex patterns of substitution and ...
Stephane Hess, John Polak, Denis Bolduc
core  

Comparison of a Linear Mixed Model and Tree-Based Machine Learning Models for Daily Milk Yield Prediction in Dairy Cows During Summer

Information
The expansion of digital technologies in dairy farming (precision dairy farming) has created new opportunities for the systematic use of data, which can lead to more efficient production processes.
Babak Darabighane, Alberto Stanislao Atzori   +1 more
doaj   +1 more source

Raman Analysis of RNA Nucleotide Strands From SARS‐CoV‐2 Variants and Subvariants: A Step Forward in the Definition of “Raman Genome”

Advanced Science, EarlyView.
Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti, Yoshiki Yasukochi, Gianluca Angiola, Takaharu Ueno, Saki Ikegami, Rintaro Okawa, Tetsuya Adachi, Wenliang Zhu, Osam Mazda, Alfio Grillo, Koichiro Higasa, Kazu Okuma   +11 more
wiley   +1 more source

Small Area Estimation using EBLUPs under the Nested Error Regression Model

Statistica Sinica
Estimating characteristics of domains (referred to as small areas) within a population from sample surveys of the population is an important problem in survey statistics. In this paper, we consider model-based small area estimation under the nested error regression model.
Lyu, Ziyang, Welsh, A. H.
openaire   +3 more sources

Integrating Kinetics into Synthetic Studies via Adaptable Concentration‐Dependent Yield Analysis

Advanced Science, EarlyView.
A method to derive kinetic parameters from synthetic studies was developed and named concentration‐dependent yield analysis (CYAN). Using numerical Euler integration for kinetic regression, CYAN was proven adaptable to chemical and operational considerations and revealed unexpected template effects of a transition metal that mediated competitive ...
Xinyi Xiao, Koki Ikemoto, Toshiya M. Fukunaga, Hideaki Nishina, Hiroyuki Isobe   +4 more
wiley   +1 more source