Results 131 to 140 of about 8,962 (250)
Bootstrap forecasts of multivariate time series
En esta tesis se estudia el desempeño de procedimientos que tienen por objetivo la aproximación de densidades de predicción y sus respectivos intervalos y regiones de confianza en series de tiempos multivariantes. En concreto, desarrollamos procedimientos bootstrap para predecir los modelos VAR y DCC, utilizados a menudo en la modelización y predicción
openaire +2 more sources
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
ABSTRACT Despite significant progress in chronic GVHD therapies, challenges remain in understanding pleomorphic phenotypes and varying responses to treatment. The aim of this study was to identify predictors of treatment response. We conducted a prospective, observational cohort study of patients beginning first‐, second‐, or third‐line systemic ...
Betty K. Hamilton +11 more
wiley +1 more source
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga +36 more
wiley +1 more source
Multivariate time-series forecasting of liver biomarkers from longitudinal lifestyle data for nonalcoholic steatohepatitis detection. [PDF]
Mila SA, Ray S.
europepmc +1 more source
Medical irregular multivariate time series forecasting based on multi-scale temporal-frequency domain patch fusion and dynamic graph. [PDF]
Liu X, Gong T, Li Y, Li N, Ding S.
europepmc +1 more source
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi +2 more
wiley +1 more source
Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory
ABSTRACT In order to reveal the complexity of the internal flow of bubble plume in power law fluid, the flow characteristics and chaotic characteristics of plume are studied by experiment and theory. The chaotic characteristic parameters (correlation dimension D, K entropy, and Lyapunov exponent λ) of gas velocity under different superficial gas ...
Xin Dong +6 more
wiley +1 more source
ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed +3 more
wiley +1 more source
Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems. [PDF]
Sagheer A, Kotb M.
europepmc +1 more source

