Results 111 to 120 of about 511,753 (356)

Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models [PDF]

, 2017
Chase Geigle, ChengXiang Zhai
openalex   +1 more source

Twenty years of dynamic occupancy models: a review of applications and look to the future

Ecography, EarlyView.
Since their introduction over 20 years ago, dynamic occupancy models (DOMs) have become a powerful and flexible framework for estimating species occupancy across space and time while accounting for imperfect detection. As their popularity has increased and extensions have further expanded their capabilities, DOMs have been applied to increasingly ...
Saoirse Kelleher, Gurutzeta Guillera-Arroita, Jane Elith, Natalie J. Briscoe   +3 more
wiley   +1 more source

Statistical Mechanics of Transcription-Factor Binding Site Discovery Using Hidden Markov Models [PDF]

, 2010
Pankaj Mehta, David J. Schwab, Anirvan M. Sengupta   +2 more
openalex   +1 more source

Movement decisions reflect compromised statewide connectivity for mountain lions in California

Frontiers in Ecology and the Environment, EarlyView.
Human‐induced habitat fragmentation threatens connectivity for populations of wide‐ranging species by compromising long‐distance dispersal. We evaluated movement‐based resource selection of dispersing mountain lions (Puma concolor) to identify specific landscape conditions influencing movement decisions and connectivity between populations across the ...
Kyle D Dougherty, Justin A Dellinger, Bogdan Cristescu, Daniel J Gammons, David K Garcelon, J Mark Higley, Phillip Johnston, Quinton E Martins, John F Randolph, Seth PD Riley, Jeff A Sikich, Trish Smith, Thomas R Stephenson, T Winston Vickers, Greta M Wengert, Christopher C Wilmers, Heiko U Wittmer, John F Benson   +17 more
wiley   +1 more source

Dissecting unsupervised learning through hidden Markov modelling in electrophysiological data [PDF]

, 2023
Laura Masaracchia, Felipe Fredes, Mark W. Woolrich, Diego Vidaurre   +3 more
openalex   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, EarlyView.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Modelling reassurances of clinicians with hidden Markov models

BMC Medical Research Methodology, 2019
Background A key element in the interaction between clinicians and patients with cancer is reassurance giving. Learning about the stochastic nature of reassurances as well as making inferential statements about the influence of covariates such as patient
Valentin Popov, Alesha Ellis-Robinson, Gerald Humphris   +2 more
doaj   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

On Regime Switching Models

Mathematics
Regime switching models have been widely studied for their ability to capture the dynamic behavior of time series data and are widely used in economic and financial data analysis.
Zhenni Tan, Yuehua Wu
doaj   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source