Results 131 to 140 of about 122,222 (300)

Estimating Semiparametric Panel Data Models by Marginal Integration [PDF]

open access: yes
We propose a new methodology for estimating semiparametric panel data models, with a primary focus on the nonparametric component. We eliminate individual effects using first differencing transformation and estimate the unknown function by marginal ...
Qian, Junhui, Wang, Le
core   +1 more source

Design of Simplified Maximum-Likelihood Receivers for Multiuser CPM Systems

open access: yesThe Scientific World Journal, 2014
A class of simplified maximum-likelihood receivers designed for continuous phase modulation based multiuser systems is proposed. The presented receiver is built upon a front end employing mismatched filters and a maximum-likelihood detector defined in a ...
Li Bing, Baoming Bai
doaj   +1 more source

19 Dubious Ways to Compute the Marginal Likelihood of a Phylogenetic Tree Topology. [PDF]

open access: yesSyst Biol, 2020
Fourment M   +5 more
europepmc   +1 more source

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro   +14 more
wiley   +1 more source

Marginal set likelihood for semiparametric copula estimation [PDF]

open access: yes, 2006
Quantitative studies in many fields involve the analysis of multivariate data of diverse types, in-cluding measurements that we may consider binary, ordinal and continuous.
Peter D. Hoff
core  

Cooperative and Non-cooperative TDOA Based Source Localization with Copula Function Using Semidefinite Relaxation

open access: yesمهندسی مخابرات جنوب
The time difference of arrival based approach to wireless localization is perhaps one of the most interesting research subjects over the past decade.
Marjan Dadkhah Tehrani   +1 more
doaj  

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs   +7 more
wiley   +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon   +9 more
wiley   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin   +8 more
wiley   +1 more source

An approximate Bayesian marginal likelihood approach for estimating nite mixtures [PDF]

open access: yes, 2013
Estimation of nite mixture models when the mixing distribution support is unknown is an important problem. This paper gives a new approach based on a marginal likelihood for the unknown support.
Ryan Martin (700679)
core  

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