Results 41 to 50 of about 9,580 (220)
Insight of Elementary Steps on the Polyethylene and Polypropylene Co‐Pyrolysis
Carbon and Hydrogen, EarlyView.Pyrolysis of PP initiates first, accelerating PE cracking via secondary radical transfer, leading to n‐hydrocarbon yield enhancement. Py–GC/MS and nanoreactor computation are in agreement on the elementary step proposal. ABSTRACT Pyrolysis with gas chromatography & mass spectrometry (Py–GC/MS) technique was employed to analyze the yield variation of ...
Naiwen Xu +6 more
wiley +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Statistical models in biogeography [PDF]
, 2013 We concentrate on the statistical methods used in Biogeography for modelling the spatial distribution of bird species. Due to the difficulty of specifying a joint multivariate spatial covariance structure in environmental processes, we factor such a ...
Alvarado Barrantes, Ricardo
core
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
Exploration, EarlyView.This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source
Detecting Turning Points with Many Predictors through Hidden Markov Models [PDF]
This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time.
David Saint-Martin, Benoit Bellone
core
International Journal of Finance &Economics, EarlyView.ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
, 2014 This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology.
M. Vidyasagar
core +1 more source