Results 251 to 260 of about 3,798,889 (297)

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

Susceptibility-adjusted herd immunity threshold model and potential R₀ distribution fitting the observed Covid-19 data in Stockholm

, 2020
Brennan PV, Brennan LP.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Stability in Threshold VAR Models

Studies in Nonlinear Dynamics & Econometrics, 2023
Abstract This paper investigates the stability of threshold autoregressive models. We review recent research on stability issues from both a theoretical and empirical standpoint. We provide a sufficient condition for the stationarity and ergodicity of threshold autoregressive models by applying the concept of joint spectral radius to the
Chen, Pu, Semmler, Willi
openaire   +1 more source

Which Threshold Model?

2023
As outlined in the Preface (and Chap. 1 and other chapters), this book espoused two fundamental views. The first view consists of the proposal that the threshold model represents a method to address the Sorites paradox, which is a consequence of a relationship between scientific evidence (that exists on a continuum of credibility) and decision-making ...
Benjamin, Djulbegovic, Iztok, Hozo
openaire   +2 more sources

Functional Threshold Autoregressive Model

Statistica Sinica
Summary: We propose a functional threshold autoregressive model for flexible functional time series modeling. In particular, the behavior of a function at a given time point can be described by different autoregressive mechanisms, depending on the values of a threshold variable at a past time point. Sufficient conditions for the strict stationarity and
Li, Yuanbo, Chen, Kun, Zheng, Xunze, Yau, Chun Yip   +3 more
openaire   +1 more source

Statistical Properties of Threshold Models

Communications in Statistics - Theory and Methods, 2009
This article focuses the attention on the Self Exciting Threshold Autoregressive Moving Average model (SETARMA) proposed in Tong (1983). The stochastic structure of the model is discussed and different specifications are presented. Starting from one of them, we give sufficient conditions for the weak stationarity of the model that are discussed and ...
AMENDOLA, Alessandra, NIGLIO, Marcella, VITALE, Cosimo Damiano   +2 more
openaire   +3 more sources

Threshold heteroskedastic models

Journal of Economic Dynamics and Control, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

On threshold moving‐average models [PDF]

Journal of Time Series Analysis, 1998
In this paper the class of discrete self‐exciting threshold moving‐average (SETMA) models is studied in some detail. In particular, we consider various problems associated with the identification, estimation and testing of these models. A simple method for distinguishing between low order moving average (MA) and low order SETMA models is presented ...
openaire   +2 more sources

Modeling Contrast Thresholds

2001
The application of the linear systems approach to the analysis of human spatial vision [1] began in earnest in the 1960’s, with estimates of the human contrast sensitivity function (CSF)[2]. Human visual system (HVS) models fall into two broad categories: single resolution and multi-resolution.
Amnon Silverstein, Thom Carney, Stanley A. Klein   +2 more
openaire   +1 more source