Results 121 to 130 of about 383,160 (312)
MathematicsIn this paper, a size-biased Lindley (SBL) first-order autoregressive (AR(1)) process is proposed, the so-called SBL-AR(1). Some probabilistic and statistical properties of the proposed process are determined, including the distribution of its innovation
Hassan S. Bakouch +3 more
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Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency, [PDF]
The purpose of this paper is to use Bahadur's asymptotic relative efficiency measure to compare the performance of various tests of autoregressive (AR) versus moving average (MA) error processes in regression models.
Michael McAleer, C. R. McKenzie
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Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
The impact of economic sentiment on European stock markets
Entrepreneurial Business and Economics ReviewObjective: This article aims to analyse the impact of sentiment indicators reflecting the condition of major economies on the returns and volatility of European developed, emerging, and frontier stock markets.
Anna Czapkiewicz +2 more
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International Journal of General Medicine, 2021 Qianbo Cui,1,* Jing Li,1,* Jing Wang2 1Department of Otorhinolaryngology Head and Neck Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430000, People’s Republic
Cui Q, Li J, Wang J
doaj
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
A characterization of random-coefficient AR(1) models
Stochastic Processes and their Applications, 1990 A random coefficient (RC) AR(1) process \(X_ t\) is defined by \(X_ t=\Lambda_ tX_{t-1}+\epsilon_ t\) where the i.i.d. random variables \((\Lambda_ t,\epsilon_ t)\) are independent of \((X_{t-i})_{i\geq 1}\). The transition probability T(.)(x) is given by \[ E(f(X_{t- 1})| X_{t-1}=x)=T(f)(x).
openaire +1 more source
, 2009 Estimating the true dimensionality of the data to determine what is essential in the data is an important but a difficult problem in fMRI dataset. In this paper, cubic spline interpolation is introduced to detect the number of essential components in ...
Xie, Xiaoping +4 more
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The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp +4 more
wiley +1 more source
Non-gaussian conditional linear AR(1) models. [PDF]
, 2000 Summary This paper gives a general formulation of a non-Gaussian conditional linear AR(1) model subsuming most of the non-Gaussian AR(1) models that have appeared in the literature.
Leanna Tedesco +3 more
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