Results 171 to 180 of about 86,980 (313)
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 +17 more
wiley +1 more source
Threshold MIDAS Forecasting of Canadian Inflation Rate
Journal of Forecasting, EarlyView.ABSTRACT We propose several threshold mixed data sampling (TMIDAS) autoregressive models to forecast the Canadian inflation rate using predictors observed at different frequencies. These models take two low‐frequency variables and a high‐frequency index as threshold variables.
Chaoyi Chen, Yiguo Sun, Yao Rao
wiley +1 more source
The multiple birth properties of multi-type Markov branching processes [PDF]
Junping Li, Wanting Zhang
openalex +1 more source
Asymptotic Estimates Of The Green Functions And Transition Probabilities For Markov Additive Processes [PDF]
, 2007 Kouhei Uchiyama
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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 +2 more
wiley +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
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
Journal of Forecasting, EarlyView.ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process
, 2022 Guillaume Chennetier +3 more
openalex +1 more source