Results 31 to 40 of about 1,047,164 (269)
International Journal of Eating Disorders, Volume 55, Issue 12, Page 1824-1837, December 2022., 2022 Abstract Objective Up to 37% of bariatric surgery patients suffer from insufficient weight loss or weight regain and mental health symptoms in the longer term. Cognitive behavioral therapy (CBT) may be an effective adjunct intervention to optimize patients' psychological functioning and weight loss results.
Linda Paul +7 more
wiley +1 more source
First-order planar autoregressive model
Modern Stochastics: Theory and ApplicationsThis paper establishes the conditions for the existence of a stationary solution to the first-order autoregressive equation on a plane as well as properties of the stationary solution.
Sergiy Shklyar
doaj +1 more source
Profit rates in the developed capitalist economies: a time series investigation [PDF]
PSL Quarterly Review, 2017 This paper examines whether there is empirical evidence to support the hypothesis of a secular decline in the economy-wide profit rates, as predicted by classical economic theories. We specifically consider profit rates in the OECD economies based on the
Ivan D. Trofimov
doaj
On geometric recurrence for time-inhomogeneous autoregression
Modern Stochastics: Theory and Applications, 2023 The time-inhomogeneous autoregressive model AR(1) is studied, which is the process of the form ${X_{n+1}}={\alpha _{n}}{X_{n}}+{\varepsilon _{n}}$, where ${\alpha _{n}}$ are constants, and ${\varepsilon _{n}}$ are independent random variables. Conditions
Vitaliy Golomoziy
doaj +1 more source
The Effect of Nonzero Autocorrelation Coefficients on the Distributions of Durbin-Watson Test Estimator: Three Autoregressive Models [PDF]
Expert Journal of Economics, 2014 This paper investigates the effect of the nonzero autocorrelation coefficients on the sampling distributions of the Durbin-Watson test estimator in three time-series models that have different variance-covariance matrix assumption, separately.
Mei-Yu LEE
doaj
On the Autoregressive Time Series Model Using Real and Complex Analysis
Forecasting, 2021 The autoregressive model is a tool used in time series analysis to describe and model time series data. Its main structure is a linear equation using the previous values to compute the next time step; i.e., the short time relationship is the core ...
Torsten Ullrich
doaj +1 more source
Non-Autoregressive Translation by Learning Target Categorical Codes [PDF]
arXiv, 2021 Non-autoregressive Transformer is a promising text generation model. However, current non-autoregressive models still fall behind their autoregressive counterparts in translation quality. We attribute this accuracy gap to the lack of dependency modeling among decoder inputs.
arxiv
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Quantitative markers of cortical excitability may help identify responders to anti‐seizure medications (ASMs). We studied the relationship between ASM load and two electroencephalography (EEG) markers of cortical excitability in people with refractory epilepsy. Methods We included individuals with refractory focal epilepsy undergoing
Silvano R. Gefferie +7 more
wiley +1 more source
Engineering and Applied Science Research, 2018 This research aims to use asimple statistical method asa forecasting model with a small dataset. Absolute difference methods, average absolute difference and minimum absolute difference, were used to adjust the dataset, i.e., the SET Index ...
Watcharin Klongdee, Mathee Pongkitwitoon
doaj +1 more source
Buildings, 2023 Damage identification plays an important role in enhancing resilience by facilitating precise detection and assessment of structural impairments, thereby strengthening the resilience of critical infrastructure.
Quanmao Xiao +3 more
doaj +1 more source