Ioannis Papageorgiou

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All published works
Action Title Year Authors
+ Replica Mean Field limits for neural networks with excitatory and inhibitory activity 2024 Ioannis Papageorgiou
+ PDF Chat Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models 2023 Ioannis Papageorgiou
Ioannis Kontoyiannis
+ PDF Chat Truly Bayesian Entropy Estimation 2023 Ioannis Papageorgiou
Ioannis Kontoyiannis
+ The Bayesian Context Trees State Space Model for time series modelling and forecasting 2023 Ioannis Papageorgiou
Ioannis Kontoyiannis
+ Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees 2022 Valentinian Lungu
Ioannis Papageorgiou
Ioannis Kontoyiannis
+ Posterior Representations for Bayesian Context Trees: Sampling, Estimation and Convergence 2022 Ioannis Papageorgiou
Ioannis Kontoyiannis
+ Truly Bayesian Entropy Estimation 2022 Ioannis Papageorgiou
Ioannis Kontoyiannis
+ Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models 2021 Ioannis Papageorgiou
Ioannis Kontoyiannis
+ Bayesian Context Trees: Modelling and exact inference for discrete time series 2020 Ioannis Kontoyiannis
Lambros Mertzanis
Athina Panotopoulou
Ioannis Papageorgiou
Maria Skoularidou
+ Asymptotic Analysis of the Elephant Random Walk 2019 Cristian F. Coletti
Ioannis Papageorgiou
+ The log-Sobolev inequality for spin systems of higher order interactions 2019 Takis Konstantopoulos
Ioannis Papageorgiou
+ Interacting systems of infinite spiking neurons with weights beyond uniform summability 2019 Ioannis Papageorgiou
+ The Logarithmic Sobolev Inequality for Gibbs measures on infinite product of Heisenberg groups 2009 Ioannis Papageorgiou
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Bayesian Context Trees: Modelling and Exact Inference for Discrete Time Series 2022 Ioannis Kontoyiannis
Lambros Mertzanis
Athina Panotopoulou
Ioannis Papageorgiou
Maria Skoularidou
2
+ The Posterior Distribution of Bayesian Context-Tree Models: Theory and Applications 2022 Ioannis Papageorgiou
Ioannis Kontoyiannis
2
+ Bayesian Change-Point Detection via Context-Tree Weighting 2022 Valentinian Lungu
Ioannis Papageorgiou
Ioannis Kontoyiannis
2
+ PDF Chat Posterior Representations for Bayesian Context Trees: Sampling, Estimation and Convergence 2023 Ioannis Papageorgiou
Ioannis Kontoyiannis
2
+ PDF Chat Truly Bayesian Entropy Estimation 2023 Ioannis Papageorgiou
Ioannis Kontoyiannis
2
+ PDF Chat Probability Distribution on Full Rooted Trees 2022 Yuta Nakahara
Shota Saito
Akira Kamatsuka
Toshiyasu Matsushima
2
+ Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees 2022 Valentinian Lungu
Ioannis Papageorgiou
Ioannis Kontoyiannis
2
+ The M4 Competition: Results, findings, conclusion and way forward 2018 Spyros Makridakis
Evangelos Spiliotis
Vassilios Assimakopoulos
1
+ PDF Chat Bayesian Interpolation 1992 David Mackay
1
+ GluonTS: Probabilistic Time Series Models in Python 2019 A. Alexandrov
Konstantinos Benidis
Michael Bohlke‐Schneider
ValentĂ­n Flunkert
Jan Gasthaus
Tim Januschowski
Danielle C. Maddix
Syama Sundar Rangapuram
David Salinas
Jasper Schulz
1
+ DeepAR: Probabilistic forecasting with autoregressive recurrent networks 2019 David Salinas
ValentĂ­n Flunkert
Jan Gasthaus
Tim Januschowski
1
+ Neural forecasting: Introduction and literature overview. 2020 Konstantinos Benidis
Syama Sundar Rangapuram
ValentĂ­n Flunkert
Bernie Wang
Danielle C. Maddix
Ali Caner TĂźrkmen
Jan Gasthaus
Michael Bohlke‐Schneider
David Salinas
Lorenzo Stella
1
+ PDF Chat Pattern-Based Analysis of Time Series: Estimation 2020 Elyas Sabeti
Peter X.‐K. Song
Alfred O. Hero
1
+ Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting 2022 J. Jon Ryu
Alankrita Bhatt
Young-Han Kim
1
+ PDF Chat Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models 2023 Ioannis Papageorgiou
Ioannis Kontoyiannis
1
+ Using the QR Factorization and Group Inversion to Compute, Differentiate, and Estimate the Sensitivity of Stationary Probabilities for Markov Chains 1986 Gene H. Golub
Carl D. Meyer
1
+ PDF Chat Context-Tree Weighting and Bayesian Context Trees: Asymptotic and Non-Asymptotic Justifications 2023 Ioannis Kontoyiannis
1
+ PDF Chat Marginal Likelihood From the Metropolis–Hastings Output 2001 Siddhartha Chib
Ivan Jeliazkov
1
+ PDF Chat Marginal Likelihood from the Gibbs Output 1995 Siddhartha Chib
1
+ On a Mixture Autoregressive Model 2000 Chun Shan Wong
W. K. Li
1
+ PDF Chat Entropy and information in neural spike trains: Progress on the sampling problem 2004 Ilya Nemenman
William Bialek
Rob de Ruyter van Steveninck
1
+ PDF Chat Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models 2010 Simon N. Wood
1
+ Asymptotic theory of greedy approximations to minimal k-point random graphs 1999 Alfred O. Hero
Olivier Michel
1