Results 31 to 40 of about 1,202,565 (290)

Comparison of Seven Non-Linear Mixed Effect Model-Based Approaches to Test for Treatment Effect

Pharmaceutics, 2023
Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated with high power, but sometimes at the cost of inflated type I error.
Estelle Chasseloup, Mats O. Karlsson
doaj   +1 more source

Forecasting in dynamic factor models using Bayesian model averaging [PDF]

, 2004
This paper considers the problem of forecasting in dynamic factor models using Bayesian model averaging. Theoretical justifications for averaging across models, as opposed to selecting a single model, are given.
Bai, Berger, Boivin, Chipman, Clyde, Clyde, Diebold, Draper, Fernandez, Fernandez, Forni, Foster, Garratt, Gary Koop, George, George, Giacomini, Giannone, Hendry, Hendry, Hjort, Hodges, Hoeting, Jacobson, Kass, Kass, Knox, Koop, Koop, Min, Poirier, Raftery, Simon Potter, Stock, Stock, West, Zellner   +36 more
core   +1 more source

Jackknife model averaging [PDF]

Journal of Econometrics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hansen, Bruce E., Racine, Jeffrey S.
openaire   +2 more sources

Forecasting Inflation Using Dynamic Model Averaging [PDF]

There is a large literature on forecasting inflation using the generalized Phillips curve (i.e. using forecasting models where inflation depends on past inflation, the unemployment rate and other predictors).
Dimitris Korobilis, Gary Koop
core   +4 more sources

Integrating uncertainty in time series population forecasts: An illustration using a simple projection model

Demographic Research, 2013
Background: Population forecasts are widely used for public policy purposes. Methods to quantify the uncertainty in forecasts tend to ignore model uncertainty and to be based on a single model.
Guy J. Abel, Jakub Bijak, Jonathan J. Forster, James Raymer, Peter W.F. Smith, Jackie S.T. Wong   +5 more
doaj   +1 more source

subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials

Journal of Statistical Software, 2021
The investigation of subgroups is an integral part of randomized clinical trials. Exploration of treatment effect heterogeneity is typically performed by covariate-adjusted analyses including treatment-by-covariate interactions.
Nicolas M. Ballarini, Marius Thomas, Gerd K. Rosenkranz, Björn Bornkamp   +3 more
doaj   +1 more source

Two-dimensional Site-Bond Percolation as an Example of Self-Averaging System

, 2002
The Harris-Aharony criterion for a statistical model predicts, that if a specific heat exponent $\alpha \ge 0$, then this model does not exhibit self-averaging. In two-dimensional percolation model the index $\alpha=-{1/2}$.
A. Aharony, A. Aharony, A. B. Harris, M. Yanuka, O. A. Vasilyev, R. B. Stinchcombe, R. Brout, S. Wiseman, S. Wiseman   +8 more
core   +1 more source

MFEAM: Multi-View Feature Enhanced Attention Model for Image Captioning

Applied Sciences
Image captioning plays a crucial role in aligning visual content with natural language, serving as a key step toward effective cross-modal understanding. Transformer has become the dominant language model in image captioning.
Yang Cui, Juan Zhang
doaj   +1 more source

A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties

Remote Sensing, 2022
This study tested and evaluated a suite of nine individual base learners and seven model averaging techniques for predicting the spatial distribution of soil properties in central Iran.
Ruhollah Taghizadeh-Mehrjardi, Hossein Khademi, Fatemeh Khayamim, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten   +5 more
doaj   +1 more source

On Endogenous Random Consensus and Averaging Dynamics [PDF]

, 2014
Motivated by various random variations of Hegselmann-Krause model for opinion dynamics and gossip algorithm in an endogenously changing environment, we propose a general framework for the study of endogenously varying random averaging dynamics, i.e.\ an ...
Langbort, Cedric, Touri, Behrouz
core   +1 more source