Results 161 to 170 of about 4,588,040 (299)
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
Annals 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
Joint Modulation Classification and Parameter Estimation Based on EM Algorithm
工程科学与技术, 2014 :The performance of modulation classification in single radio is sensitive to signal-to-noise ratio(SNR).A hybrid maximum likelihood(ML) modulation classification algorithm using multiple radios was proposed.All received baseband signals from different ...
吴迪, 葛临东, 彭华
doaj
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. [PDF]
Proc Mach Learn Res, 2023 Ketenci M +3 more
europepmc +1 more source
Asymptotic Properties of Pseudo Maximum Likelihood Estimates for Multiple Frequency I(1) Processes [PDF]
In this paper we derive (weak) consistency and the asymptotic distribution of pseudo maximum likelihood estimates for multiple frequency I(1) processes.
Martin Wagner, Dietmar Bauer
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma +16 more
wiley +1 more source
The Expectation-Maximization (EM) algorithm is a broadly applicable approach to the iterative computation of maximum likelihood (ML) estimates, useful in a variety of incomplete-data problems.
Ng, See Ket +2 more
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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Nonparametric estimation of concave production technologies by entropic methods [PDF]
An econometric methodology is developed for nonparametric estimation of concave production technologies. The methodology, bases on the priciple of maximum likelihood, uses entropic distance and concvex programming techniques to estimate production ...
Alex Shapiro +4 more
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Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
Maximum-Likelihood estimation of the 4-parameter generalized weilbull distribution
Revista Colombiana de Estadística, 1992 Weibull distrlbution is being increasingly employed by researches in tectinology, medicine and other áreas. Its generatlons to four parameters have been proposed, independently, by Stacy (1962) and Cohén (1969) ln this paper, we obtain the maximum ...
Arora Manmohan S.
doaj