Results 121 to 130 of about 73,803 (311)
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
Markov Observation Models and Deepfakes
MathematicsHerein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj +1 more source
Integrative Conservation, EarlyView.This study used camera trap data from 6 years between 2016 and 2021 and generalized linear mixed models to explore the factors that influence the spatial density distribution of lynx and its prey populations in warm and cold seasons in Inner Mongolia Hanma National Nature Reserve, China.
Wentao Zhang +11 more
wiley +1 more source
How to detect the life cycle of technology in the domain of endoscopy based on the hidden Markov model [PDF]
کتابداری و اطلاعرسانی, 2017 Purpose: This study aimed to identify how to diagnose technology life cycle of endoscopy by using data patents and hidden Markov model. Methodology: This applied research was conducted through a descriptive approach using exploratory method.
Ali Mansoori +2 more
doaj
Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Søren Højsgaard, Jared O'Connell
core
Fiscal Policy Regimes in Resource‐Rich Economies
Journal of Applied Econometrics, EarlyView.ABSTRACT We analyse fiscal policy in resource‐rich economies using a novel Bayesian regime‐switching panel model. The identified regimes capture pro‐ or countercyclical fiscal behaviour by allowing regime‐specific shifts in the average fiscal stance, while the switches between the regimes have the interpretation of changes in fiscal policy.
Hilde C. Bjørnland +3 more
wiley +1 more source
Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Genetics and Molecular Biology, 2003 Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj
Hidden Markov Model Based Visual Perception Filtering in Robotic Soccer
, 2009 Autonomous robots can initiate their mission plans only after gathering sufficient information about the environment. Therefore reliable perception information plays a major role in the overall success of an autonomous robot.
Can Kavaklioglu, H. Levent Akin
core +1 more source
Behavioral responses of black bears to human presence and infrastructure in Yosemite National Park
The Journal of Wildlife Management, EarlyView.Using GPS collar data from black bears in Yosemite National Park, we examined how bear spatiotemporal activity in relation to human development shifted during the COVID‐19 park closure in 2020. In the absence of visitors, bears maintained consistent landscape‐scale space use but altered fine‐scale spatial and temporal behaviors.
Jennifer R. Green +9 more
wiley +1 more source
Using hidden Markov models to deal with availability bias on line transect surveys
, 2013 This work was supported by EPSRC grant EP/I000917/1We develop estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range.
Heide-Jorgensen, M. P. +14 more
core +1 more source