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Maximum likelihood estimation of the log-concave component in a semi-parametric mixture with a standard normal density

JOURNAL ARTICLE published May 2024 in Journal of Statistical Planning and Inference

Research funded by Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (200021191999)

Authors: Fadoua Balabdaoui | Harald Besdziek

The distribution of the maximum likelihood estimates of the change point and their relation to random walks

JOURNAL ARTICLE published July 2024 in Statistical Inference for Stochastic Processes

Authors: Stergios B. Fotopoulos

Learned Harmonic Mean Estimation of the Marginal Likelihood with Normalizing Flows

PROCEEDINGS ARTICLE published 29 November 2023 in The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Authors: Alicja Polanska | Matthew A. Price | Alessio Spurio Mancini | Jason D. McEwen

Why Machine Learning Cannot Ignore Maximum Likelihood Estimation

BOOK CHAPTER published 1 March 2023 in Handbook of Matching and Weighting Adjustments for Causal Inference

Authors: Mark J. van der Laan | Sherri Rose

Maximum Likelihood Estimation Under Finite Mixture Models

BOOK CHAPTER published 2023 in ICSA Book Series in Statistics

Authors: Jiahua Chen

High-dimensional estimation of quadratic variation based on penalized realized variance

JOURNAL ARTICLE published July 2023 in Statistical Inference for Stochastic Processes

Research funded by FP7 Ideas: European Research Council (815703) | Danmarks Frie Forskningsfond (1028-00030B,9056-00011B)

Authors: Kim Christensen | Mikkel Slot Nielsen | Mark Podolskij

A note on estimation of α-stable CARMA processes sampled at low frequencies

JOURNAL ARTICLE published July 2022 in Journal of Statistical Planning and Inference

Authors: Vicky Fasen-Hartmann | Celeste Mayer

Maximum likelihood estimation of sparse networks with missing observations

JOURNAL ARTICLE published December 2021 in Journal of Statistical Planning and Inference

Authors: Solenne Gaucher | Olga Klopp

Fisherian Inference and Maximum Likelihood Estimation

BOOK CHAPTER published 17 June 2021 in Computer Age Statistical Inference, Student Edition

Maximum spacing estimation for continuous time Markov chains and semi-Markov processes

JOURNAL ARTICLE published July 2021 in Statistical Inference for Stochastic Processes

Research funded by Eesti Teadusagentuur (PRG865)

Authors: Kristi Kuljus | Bo Ranneby

Hawkes process and Edgeworth expansion with application to maximum likelihood estimator

JOURNAL ARTICLE published July 2021 in Statistical Inference for Stochastic Processes

Authors: Masatoshi Goda

Semiparametric estimation for space-time max-stable processes: an F-madogram-based approach

JOURNAL ARTICLE published July 2021 in Statistical Inference for Stochastic Processes

Authors: A. Abu-Awwad | V. Maume-Deschamps | P. Ribereau

Estimating the effect of central bank independence on inflation using longitudinal targeted maximum likelihood estimation

JOURNAL ARTICLE published 21 June 2021 in Journal of Causal Inference

Authors: Philipp F. M. Baumann | Michael Schomaker | Enzo Rossi

Fixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processes

JOURNAL ARTICLE published December 2020 in Journal of Statistical Planning and Inference

Authors: F. Bachoc | A. Lagnoux

Maximum Probability Estimation for an Autoregressive Process

BOOK CHAPTER published 13 August 2020 in Statistical Inference in Stochastic Processes

Authors: Lionel Weiss

Asymptotic Theory of Weighted Maximum Likelihood Estimation for Growth Models

BOOK CHAPTER published 13 August 2020 in Statistical Inference in Stochastic Processes

Authors: B. L. S. Prakasa Rao

Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data

JOURNAL ARTICLE published March 2020 in Journal of Statistical Planning and Inference

Research funded by Ministry of Education - Singapore (MOE2013-T2-2-118,RG134/17)

Authors: Zsolt Szabo | Xiaoyu Liu | Liming Xiang

A class of general adjusted maximum likelihood methods for desirable mean squared error estimation of EBLUP under the Fay–Herriot small area model

JOURNAL ARTICLE published March 2019 in Journal of Statistical Planning and Inference

Research funded by Grant-in-Aid for Research Activity Start-up, JSPS (26880011)

Authors: Masayo Y. Hirose

Asymptotic theory for Maximum Likelihood Estimation

BOOK CHAPTER published 2019 in Springer Texts in Statistics

Authors: Bing Li | G. Jogesh Babu

Maximum Likelihood Estimation

BOOK CHAPTER published 22 November 2018 in Statistical Inference for Engineers and Data Scientists