Results 161 to 170 of about 1,047,164 (269)
Identification of Visual Imagery by Electroencephalography Based on Empirical Mode Decomposition and an Autoregressive Model. [PDF]
Fu Y+5 more
europepmc +1 more source
The estimation of multivariate random coefficient autoregressive models
D. F. Nicholls, Barry G. Quinn
openalex +1 more source
Abstract This research investigates the interplay between sustainable finance, energy policies, and environmental outcomes in OECD countries from 2005 to 2018. Recognising the pivotal role of OECD countries in global sustainability efforts, this study focuses on Australia, Belgium, Denmark, Germany, Japan, Norway, Portugal, Spain, Sweden, and ...
Bilgehan Tekin+2 more
wiley +1 more source
Comparison of Conventional Modeling Techniques with the Neural Network Autoregressive Model (NNAR): Application to COVID-19 Data. [PDF]
Daniyal M+3 more
europepmc +1 more source
Autoregressive Image Generation without Vector Quantization [PDF]
Conventional wisdom holds that autoregressive models for image generation are typically accompanied by vector-quantized tokens. We observe that while a discrete-valued space can facilitate representing a categorical distribution, it is not a necessity for autoregressive modeling.
arxiv
Notes on poles of autoregressive type model part I: Non-robust singular pole
Kuniharu Kishida+2 more
openalex +1 more source
ESTIMATING THE EMBEDDING DIMENSION AND DELAY TIME OF CHAOTIC TIME SERIES BY AN AUTOREGRESSIVE MODEL [PDF]
Koji Yonemoto, Takashi Yanagawa
openalex +1 more source
ABSTRACT This research aims to explore and understand the dynamic nature of volatility connectedness between BRICS stock markets and various asset price implied volatility indices through a TVP‐VAR broadened connectedness approach. Results display nontrivial dynamic connectedness in the BRICS stock markets and uncertainties in different markets during ...
Halilibrahim Gökgöz+3 more
wiley +1 more source
A network autoregressive model with GARCH effects and its applications. [PDF]
Huang SF, Chiang HH, Lin YJ.
europepmc +1 more source
Autoregressive model path dependence near Ising criticality [PDF]
Autoregressive models are a class of generative model that probabilistically predict the next output of a sequence based on previous inputs. The autoregressive sequence is by definition one-dimensional (1D), which is natural for language tasks and hence an important component of modern architectures like recurrent neural networks (RNNs) and ...
arxiv