Ioannis Kontoyiannis
#62,373
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Greek mathematician and information theorist
Ioannis Kontoyiannis's AcademicInfluence.com Rankings
Ioannis Kontoyiannismathematics Degrees
Mathematics
#4082
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#5876
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Measure Theory
#3342
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#3946
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Ioannis Kontoyianniscomputer-science Degrees
Computer Science
#7422
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#7816
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Information Theory
#36
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#37
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Mathematics Computer Science
Why Is Ioannis Kontoyiannis Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ioannis Kontoyiannis is a Greek mathematician and information theorist. He is the Churchill Professor of Mathematics for Operational Research with the Statistical Laboratory, in the Department of Pure Mathematics and Mathematical Statistics, of the University of Cambridge. He is also a Fellow of Darwin College, Cambridge, an affiliated member of the Division of Information Engineering, Cambridge, a Research Fellow of the Foundation for Research and Technology - Hellas, a Senior Member of Robinson College, Cambridge, and a trustee of the Rollo Davidson Trust.
Ioannis Kontoyiannis's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Spectral theory and limit theorems for geometrically ergodic Markov processes (2002) (256)
- Nonparametric Entropy Estimation for Stationary Processesand Random Fields, with Applications to English Text (1998) (240)
- Convergence properties of functional estimates for discrete distributions (2001) (215)
- Large Deviations Asymptotics and the Spectral Theory of Multiplicatively Regular Markov Processes (2005) (135)
- Source coding, large deviations, and approximate pattern matching (2001) (102)
- Optimal Lossless Data Compression: Non-Asymptotics and Asymptotics (2014) (100)
- Estimating the Entropy of Binary Time Series: Methodology, Some Theory and a Simulation Study (2008) (100)
- Geometric ergodicity and the spectral gap of non-reversible Markov chains (2009) (88)
- Asymptotic Recurrence and Waiting Times for Stationary Processes (1998) (86)
- Entropy and the law of small numbers (2002) (80)
- Pointwise redundancy in lossy data compression and universal lossy data compression (2000) (73)
- Second-order noiseless source coding theorems (1997) (69)
- Sumset and Inverse Sumset Inequalities for Differential Entropy and Mutual Information (2012) (59)
- Control variates for estimation based on reversible Markov chain Monte Carlo samplers (2012) (56)
- Log-concavity, ultra-log-concavity, and a maximum entropy property of discrete compound Poisson measures (2009) (49)
- An implementable lossy version of the Lempel-Ziv algorithm - Part I: Optimality for memoryless sources (1999) (48)
- Relative entropy and exponential deviation bounds for general Markov chains (2005) (47)
- Progressive search and retrieval in large image archives (1998) (47)
- Compound Poisson Approximation via Information Functionals (2010) (41)
- The asymptotics of waiting times between stationary processes, allowing distortion (1999) (41)
- Thinning, Entropy, and the Law of Thin Numbers (2009) (41)
- Estimating the Directed Information and Testing for Causality (2015) (41)
- Prefixes and the entropy rate for long-range sources (1994) (40)
- Entropy Bounds on Abelian Groups and the Ruzsa Divergence (2015) (36)
- Source coding exponents for zero-delay coding with finite memory (2003) (34)
- Thinning and the Law of Small Numbers (2007) (34)
- Fisher Information, Compound Poisson Approximation, and the Poisson Channel (2007) (30)
- The complexity and entropy of literary styles (1997) (27)
- Arbitrary source models and Bayesian codebooks in rate-distortion theory (2002) (24)
- Progressive classification in the compressed domain for large EOS satellite databases (1996) (24)
- Identifying Statistical Dependence in Genomic Sequences via Mutual Information Estimates (2007) (21)
- Pattern matching and lossy data compression on random fields (2003) (21)
- From the Entropy to the Statistical Structure of Spike Trains (2006) (20)
- Measure Concentration for Compound Poisson Distributions (2005) (20)
- Mismatched codebooks and the role of entropy coding in lossy data compression (2003) (20)
- The entropies of the sum and the difference of two IID random variables are not too different (2010) (19)
- Unified spatial diversity combining and power allocation for CDMA systems in multiple time-scale fading channels (2001) (19)
- The ODE Method and Spectral Theory of Markov Operators (2002) (18)
- International Symposium on Information Theory (2007) (17)
- Optimal rates for independence testing via U-statistic permutation tests (2020) (16)
- Bayesian context trees: Modelling and exact inference for discrete time series (2020) (16)
- On the entropy and log-concavity of compound Poisson measures (2008) (15)
- Minimum description length vs. maximum likelihood in lossy data compression (2004) (15)
- Sparse superposition codes for Gaussian vector quantization (2010) (14)
- Optimal lossless compression: Source varentropy and dispersion (2013) (13)
- The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning (2021) (12)
- Estimating the entropy of discrete distributions (2001) (12)
- Lossless compression with moderate error probability (2013) (12)
- Sphere-covering, measure concentration, and source coding (2001) (11)
- Thinning and information projections (2008) (11)
- On the $f$-Norm Ergodicity of Markov Processes in Continuous Time (2015) (11)
- Estimation of the Rate–Distortion Function (2007) (11)
- Exponential bounds and stopping rules for MCMC and general Markov chains (2006) (11)
- Critical behavior in lossy source coding (2000) (10)
- Efficient random codebooks and databases for lossy compression in near-linear time (2009) (10)
- Asymptotically optimal lossy Lempel-Ziv coding (1998) (10)
- Revisiting Context-Tree Weighting for Bayesian Inference (2021) (10)
- Lossless data compression rate: Asymptotics and non-asymptotics (2012) (10)
- Maximum Likelihood Estimation for Lossy Data Compression (2002) (8)
- Lossy Compression in Near-Linear Time via Efficient Random Codebooks and Databases (2009) (8)
- Mutual information, synergy and some curious phenomena for simple channels (2005) (7)
- Posterior Representations for Bayesian Context Trees: Sampling, Estimation and Convergence (2022) (7)
- Exact speed and transmission cost in a simple one-dimensional wireless delay-tolerant network (2017) (7)
- Steady state analysis of balanced‐allocation routing (2002) (7)
- The Lévy State Space Model (2019) (7)
- Estimating the Entropy Rate of Spike Trains (2004) (6)
- Approximating a diffusion by a finite-state hidden Markov model (2017) (6)
- Second-order analysis of lossless and lossy versions of Lempel-Ziv codes (1997) (6)
- Lossless Data Compression at Finite Blocklengths (2012) (5)
- Control Variates for Reversible MCMC Samplers (2010) (5)
- Deep Tree Models for ‘Big’ Biological Data (2018) (5)
- An Efficient Recursive Partitioning Algorithm for Classification, Using Wavelets (2002) (5)
- Entropy, compound Poisson approximation, log-Sobolev inequalities and measure concentration (2004) (5)
- The Ruzsa divergence for random elements in locally compact abelian groups (2015) (5)
- Notes on Using Control Variates for Estimation with Reversible MCMC Samplers (2009) (5)
- Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees (2022) (5)
- Nonasymptotic Gaussian Approximation for Inference With Stable Noise (2018) (5)
- Unified spatial diversity combining and power allocation schemes for CDMA systems (2000) (4)
- COMPUTABLE EXPONENTIAL BOUNDS FOR SCREENED ESTIMATION AND SIMULATION (2006) (4)
- Hierarchical Bayesian Mixture Models for Time Series Using Context Trees as State Space Partitions (2021) (4)
- Differential Temporal Difference Learning (2018) (4)
- Geometric ergodicity in a weighted Sobolev space (2017) (4)
- Control variates as screening functions (2008) (4)
- Population-scale testing can suppress the spread of infectious disease (2021) (4)
- A criterion for the compound poisson distribution to be maximum entropy (2009) (4)
- Simulated convergence rates with application to an intractable α-stable inference problem (2017) (4)
- Second-order properties of lossy likelihoods and the MLE/MDL dichotomy in lossy compression (2005) (4)
- Stochastic Analysis of the $k$-Server Problem on the Circle (2010) (4)
- The Posterior Distribution of Bayesian Context-Tree Models: Theory and Applications (2022) (4)
- Bayesian Change-Point Detection via Context-Tree Weighting (2022) (4)
- Fundamental Limits of Lossless Data Compression With Side Information (2019) (3)
- Compression and Symmetry of Small-World Graphs and Structures (2020) (3)
- A Minimum Description Length Proposal for Lossy Data Compression (2004) (3)
- Entropy and the Discrete Central Limit Theorem (2021) (3)
- Sumset inequalities for differential entropy and mutual information (2012) (3)
- Evaluating the effects of second-dose vaccine-delay policies in European countries: A simulation study based on data from Greece (2022) (3)
- Recurrence and waiting times in stationary processes, and their applications in data compression (1998) (3)
- The Bayesian Context Trees State Space Model: Interpretable mixture models for time series (2022) (3)
- Efficient sphere-covering and converse measure concentration via generalized coding theorems (1999) (3)
- Some information-theoretic computations related to the distribution of prime numbers (2007) (3)
- Counting the primes using entropy (2008) (3)
- An Information-Theoretic Proof of a Finite de Finetti Theorem (2021) (3)
- Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version] (2018) (2)
- Stationary entrophy estimation via string matching (1996) (2)
- Packet Speed and Cost in Mobile Wireless Delay-Tolerant Networks (2018) (2)
- Truly Bayesian Entropy Estimation (2022) (2)
- Sharp Gaussian Approximation Bounds for Linear Systems with α-stable Noise (2018) (2)
- Asymptotics of the Packet Speed and Cost in a Mobile Wireless Network Model (2018) (2)
- Approximating a Diffusion by a Hidden Markov Model (2009) (2)
- Model Selection via Rate-Distortion Theory (Invited Paper) (2000) (2)
- Information in probability: Another information-theoretic proof of a finite de Finetti theorem (2022) (2)
- An Efficient Recursive Partitioning Algorithm for Classification (1999) (2)
- Complexity-compression tradeoffs in lossy compression via efficient random codebooks and databases (2012) (2)
- Analysis of a One-Dimensional Continuous Delay-Tolerant Network Model (2018) (2)
- Concentration and relative entropy for compound Poisson distributions (2005) (2)
- Control Variates for Estimation Based on Reversible MCMC Samplers (2011) (2)
- Inferring community characteristics in labelled networks (2021) (1)
- Mismatched Codebooks and the I Role of Entropy-Coding (2003) (1)
- A Remark on Unified Error Exponents: Hypothesis Testing, Data Compression and Measure Concentration (2002) (1)
- Symmetry and the Entropy of Small-World Structures and Graphs (2021) (1)
- Information and Complexity in Statistical Modeling by Jorma Rissanen (2008) (1)
- The Feature-First Block Model (2021) (1)
- On the distribution of recurrence times and the exact asymptotics of Lempel-Ziv coding (1997) (1)
- Analysis of Geographic/Delay-Tolerant Routing in Mobile Wireless Networks (2018) (1)
- Stationary Entropy Estimation via String Matching P N I=1 N I (x) (1996) (1)
- The advantage of balanced-allocation routing for ATM networks (2003) (1)
- Context-tree weighting and Bayesian Context Trees: Asymptotic and non-asymptotic justifications (2022) (1)
- Information-theoretic de Finetti-style theorems (2022) (1)
- Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise (2018) (1)
- Mismatched codebooks and the role of entropy-coding in lossy data compression (2003) (1)
- On Estimating the Rate-Distortion Function (2006) (1)
- Evaluating the effects of vaccine rollout policies in European countries: A simulation study (2021) (1)
- Statistical Dependence in Biological Sequences (2007) (1)
- Entropy Estimation: Simulation, Theory and a Case Study (2006) (1)
- Two refinements to Shannon's source coding theorem (1997) (0)
- The entropy of sums and Rusza's divergence on abelian groups (2013) (0)
- Submitted to the Annals of Probability GEOMETRIC ERGODICITY IN A WEIGHTED SOBOLEV SPACE By (2019) (0)
- A simple network of nodes moving on the circle (2018) (0)
- 2 Models and Problem Statement 2 . 1 Random walk on the discrete circle (2018) (0)
- Lossless Data Compression with Side Information: Nonasymptotics and Dispersion (2020) (0)
- Sphere-covering and measure concentration as source coding theorems (2001) (0)
- A Third Information-Theoretic Approach to Finite de Finetti Theorems (2023) (0)
- Reviews (2008) (0)
- Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models (2021) (0)
- PR ] 3 O ct 2 00 2 A Remark on Unified Error Exponents : Hypothesis Testing , Data Compression & Measure Concentration (2002) (0)
- Source coding exponents for zero-delay codes with finite memory (2002) (0)
- The Entropic Central Limit Theorem for Discrete Random Variables (2022) (0)
- Proceedings of the First Workshop on Information Theoretic Methods in Science and Engineering, August 18-20, 2008, Tampere, Finland (2008) (0)
- Filtering: the case for "noisier" data (2005) (0)
- An Eecient Recursive Partitioning Algorithm for Classiication, Using Wavelets (1999) (0)
- Acknowledgment for Support. (2018) (0)
- Geometric ergodicity and the spectral gap of non-reversible Markov chains (2011) (0)
- How Well Does the Shannon Codebook Compress? (1999) (0)
- Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information (2020) (0)
- Joy Thomas: Legacy, Foundation and the IT Society (2021) (0)
- Complexity-compression tradeoffs in lossy compression via efficient random codebooks and databases (2012) (0)
- The ODE Methodand Spe tral Theory of Markov (2002) (0)
- ENTROPY AND THE ‘ COMPOUND ’ LAW OF SMALL NUMBERS (2008) (0)
- On mixing models (2010) (0)
- Approximating a Diffusion by a Finite-State Hidden Markov Model (2016) (0)
- ¾¼¼¼ Óòòòööò Óò Áòòóöññøøóò Ë Blockin (2007) (0)
- Denoising line edge roughness measurement using hidden Markov models (2019) (0)
- and Spectral Theory of Markov Operators (2008) (0)
- Entropy power inequalities (2019) (0)
- Efficient Sphere-Covering and Converse Measure Concentration Via Generalized Source Coding Theorems (2000) (0)
- The L\'evy State Space Model. (2019) (0)
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