Results 71 to 80 of about 5,585,321 (191)

An Additional Characterization of the Triple Consisting of Normal, Gamma, and Inverse Gaussian Distributions

Mathematics
Two characterizations of the triple consisting of the normal, gamma, and inverse Gaussian families are already known: one through the saddlepoint method, and another through the coincidence of the bilateral UMPU and generalized likelihood ratio tests ...
Shaul K. Bar-Lev
doaj   +1 more source

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, Federica Avantaggiato, Gianni Pezzoli, Andrea Canessa   +3 more
wiley   +1 more source

Variance-Gamma distribution

, 2016
In this Demonstration we visualize the probability density function of the variance-gamma distribution, which has parameters μ (location), α (tail), β (asymmetry), and λ (scale). These are all real-valued, with the additional constraints λ>0, α>max(0,|β|)
Falloon, Peter
core   +1 more source

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu, Changgeng Song, Dianwei Wu, Xiaoqian Niu, Jianmin Hao, Lijuan Liu, Xiaogang Kang, Wen Jiang   +7 more
wiley   +1 more source

The Empirical Bayes Estimators of the Variance Parameter of the Normal Distribution with a Normal-Inverse-Gamma Prior Under Stein’s Loss Function

Axioms
For the hierarchical normal and normal-inverse-gamma model, we derive the Bayesian estimator of the variance parameter in the normal distribution under Stein’s loss function—a penalty function that treats gross overestimation and underestimation equally ...
Ying-Ying Zhang
doaj   +1 more source

A Predictive Model Evaluation and Selection Approach - The Correlated Gamma Ratio Distribution [PDF]

In this paper, an evaluation method is suggested for selecting one of two competing models based on certain predictive ability ratings. The main focus is on the case of linear models that are not necessarily nested.
Panaretos, John, Psarakis, Stelios, Xekalaki, Evdokia   +2 more
core  

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Estimating equations for biomarker based exposure estimation under non-steady-state conditions

Environmental Health, 2011
Unrealistic steady-state assumptions are often used to estimate toxicant exposure rates from biomarkers. A biomarker may instead be modeled as a weighted sum of historical time-varying exposures. Estimating equations are derived for a zero-inflated gamma
Bartell Scott M, Johnson Wesley O
doaj   +1 more source

The Variance Gamma Scaled Self-Decomposable Process in Actuarial Modelling [PDF]

A scaled self-decomposable stochastic process put forward by Carr, Geman, Madan and Yor (2007) is used to model long term equity returns and options prices.
Conall O'Sullivan, Michael Moloney
core  

The Variance-Gamma Distribution: A Review [PDF]

The variance-gamma (VG) distributions form a four-parameter family which includes as special and limiting cases the normal, gamma and Laplace distributions.
Gaunt, Robert E, Sarantsev, Andrey, Fischer, Adrian, Gaunt, Robert   +3 more
core   +1 more source