Results 151 to 160 of about 34,622 (305)

Species distribution modeling with expert elicitation and Bayesian calibration

Ecography, EarlyView.
Species distribution models (SDM) are key tools in ecology, conservation, and natural resources management. They are traditionally trained with data on direct species observations. However, if collecting species data is difficult or expensive, complementary information sources on species distributions are needed.
Karel Kaurila, Sanna Kuningas, Antti Lappalainen, Jarno Vanhatalo   +3 more
wiley   +1 more source

Scalp‐negative medial temporal interictal epileptic discharges alter large‐scale brain networks: A simultaneous high‐density electroencephalographic and intracranial electroencephalographic study

Epilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri, Pia De Stefano, Laurent Spinelli, Renaud Marquis, Stanislas Lagarde, Shahan Momjian, Margitta Seeck, Serge Vulliemoz   +7 more
wiley   +1 more source

Bayesian Flexible Modelling of Mixed Logit Models

, 2010
The widespread use of the Mixed Multinomial Logit model, in the context of discrete choice data, has made the issue of choosing a mixing distribution very important. The choice of a specific distribution may seriously bias results if that distribution is not suitable for the data. We propose a flexible hierarchical Bayesian approach in which the mixing
SCACCIA, LUISA, E. MARCUCCI
openaire   +3 more sources

Effects of intersection control types on driver yielding behavior to cyclists using mixed logit modeling. [PDF]

Sci Rep
Abushattal M, Alhomaidat F, El-Yabroudi M.   +2 more
europepmc   +1 more source

Mixed logit applications in travel behaviour research

Stefan Lindhard Mabit
openalex   +1 more source

Measurement of Cannibalism Effects in buying experiments using Mixed Logit Models - The Example of a new Brand of the “Fruits of Lake Constance” Association - [PDF]

, 2008
Adriano Profeta
openalex  

Development of a Physicians’ Choice Model Using Mixed Logit with Random Prices for Drugs Case Study on Diabetes Type II

, 2021
Christine Huttin, Jerry A. Hausman, C Huttin, R Wong, C Huttin, S Atwood, C Huttin, J Hahn, J Hausman, J Lustig, S Berry, J Levinsohn, J Hausman, D Mcfadden, M Burda, M Harding, J Hausman, C Huttin, J Hausman, C Huttin, M Fralick, Avornj, A Kesselheim, D Ashley, Luo, Avornj, A Kesselheim, C Huttin, A Ellis, E De Bekker-Grob, K Howard, K Thomas, E Lancsar, M Ryan, J Rose, M Burda, M Harding, J Hausman, C Huttin, C Huttin, D Mcfadden   +40 more
openalex   +1 more source

Instability in mixed logit demand models

Journal of Choice Modelling, 2022
openaire   +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

Using Mixed Logit in Land Use Models: Can Expectation-Maximization (EM) Algorithms Facilitate Estimation [PDF]

, 2013
Roger Claassen, Daniel Hellerstein, Seyunk Kim   +2 more
openalex