Inference in models with adaptive learning

Inference in models with adaptive learning

Show other versions (1)

Bibliographic Details
Main Authors:	Mavroeidis, S, Chevillon, G, Massmann, M
Format:	Journal article
Published:	2010

Similar Items

Inference in models with adaptive learning.
by: Chevillon, G, et al.
Published: (2010)

Robust inference in structural vector autoregressions with long-run restrictions
by: Chevillon, G, et al.
Published: (2019)

Learning can generate long memory
by: Chevillon, G, et al.
Published: (2017)

Perpetual learning and apparent long memory
by: Chevillon, G, et al.
Published: (2018)

`Weak` trends for inference and forecasting in finite samples.
by: Chevillon, G
Published: (2004)

Weak' trends for inference and forecasting in finite samples
by: Chevillon, G
Published: (2004)

Cardiovascular Modeling With Adapted Parametric Inference
by: Lucor Didier, et al.
Published: (2018-01-01)

Model adaptivity for goal-oriented inference
by: Li, Harriet
Published: (2016)

Adaptive Manipulator Control using Active Inference with Precision Learning
by: Baioumy, M, et al.
Published: (2020)

Adaptive Quadrature Schemes for Bayesian Inference via Active Learning
by: Fernando Llorente Fernandez, et al.
Published: (2020-01-01)

A Comparison of Multi-step GDP Forecasts for South Africa.
by: Chevillon, G
Published: (2004)

Multi-step Forecasting in Unstable Economies: Robustness Issues in the Presence of Location Shifts
by: Chevillon, G
Published: (2006)

Multi-step forecasting in unstable economies: robustness issues in the presence of location shifts
by: Chevillon, G
Published: (2006)

World model learning and inference
by: Friston, Karl, et al.
Published: (2023)

Reproducing different types of changes in hydrological indicators with rainfall-runoff models
by: Carolina Massmann
Published: (2020-04-01)

Interpolating detailed simulations of kilonovae: Adaptive learning and parameter inference applications
by: M. Ristic, et al.
Published: (2022-01-01)

Model Adaptivity for Goal-Oriented Inference using Adjoints
by: Li, Harriet, et al.
Published: (2020)

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
by: Huang, Xin, et al.
Published: (2024)

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels
by: Saeed eAfshar, et al.
Published: (2014-11-01)

Adaptive coding for dynamic sensory inference
by: Wiktor F Młynarski, et al.
Published: (2018-07-01)

Refining learning models in grammatical inference
by: Wang, Xiangrui
Published: (2008)

Hierarchical models of pain: inference, information-seeking, and adaptive control
by: Seymour, B, et al.
Published: (2020)

Adaptive and Resilient Model-Distributed Inference in Edge Computing Systems
by: Pengzhen Li, et al.
Published: (2023-01-01)

Hierarchical models of pain: Inference, information-seeking, and adaptive control.
by: Ben Seymour, et al.
Published: (2020-11-01)

Lazily adapted constant kinky inference for nonparametric regression and model-reference adaptive control
by: Calliess, J-P, et al.
Published: (2020)

Econometrics issues in forward-looking monetary models
by: Mavroeidis, S
Published: (2002)

Econometric Issues in Forward-Looking Monetary Models.
by: Mavroeidis, S
Published: (2002)

Weak identification of forward-looking models in monetary economics.
by: Mavroeidis, S
Published: (2004)

Identification issues in forward-looking models estimated by GMM, with an application to the Phillips curve.
by: Mavroeidis, S
Published: (2005)

Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning
by: Ryan Smith, et al.
Published: (2019-12-01)

Recursive compositional models: representation, learning, and inference
by: Yuille, Alan, et al.
Published: (2010)

Amortized inference and model learning for probabilistic programming
by: Le, TA
Published: (2019)

Inference and learning for rigid-body models of manipulation
by: Fazeli, Nima.
Published: (2020)

Modelling, inference and optimization in probabilistic machine learning
by: Lu, X
Published: (2018)

Machine Learning for Model Error Inference and Correction
by: Massimo Bonavita, et al.
Published: (2020-12-01)

Non-Parametric Direct Multi-step Estimation for Forecasting Economic Processes.
by: Chevillon, G, et al.
Published: (2004)

Non-parametric direct multi-step estimation for forecasting economic processes
by: Hendry, D, et al.
Published: (2004)

Non-parametric Direct Multi-step Estimation for Forecasting Economic Processes.
by: Chevillon, G, et al.
Published: (2005)

Rainfall-runoff modelling using adaptive neuro-fuzzy inference system
by: Nurul Najihah, Che Razali, et al.
Published: (2020)

Adaptive neuro-fuzzy inference system model with application in wastewater systems /
by: Amjed Hassoon Saleh, 1975- author, et al.
Published: (2014)