Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Ghosh, Subir
and
Nyquist, Hans
2021.
Stochastic Processes and Functional Analysis.
Vol. 774,
Issue. ,
p.
37.
Fort, G.
Gach, P.
and
Moulines, E.
2021.
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence.
Statistics and Computing,
Vol. 31,
Issue. 4,
Bedbur, Stefan
and
Kamps, Udo
2021.
Multivariate Exponential Families: A Concise Guide to Statistical Inference.
p.
1.
Bedbur, Stefan
and
Kamps, Udo
2021.
Multivariate Exponential Families: A Concise Guide to Statistical Inference.
p.
43.
Kwasniok, Frank
and
Daniels, Bryan C
2021.
Semiparametric maximum likelihood probability density estimation.
PLOS ONE,
Vol. 16,
Issue. 11,
p.
e0259111.
Bedbur, Stefan
and
Kamps, Udo
2021.
Multivariate Exponential Families: A Concise Guide to Statistical Inference.
p.
5.
Spanos, Aris
2022.
Frequentist Model-based Statistical Induction and the Replication Crisis.
Journal of Quantitative Economics,
Vol. 20,
Issue. S1,
p.
133.
Schweinberger, Michael
2022.
Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo.
Statistical Methods & Applications,
Vol. 31,
Issue. 2,
p.
253.
Nielsen, Frank
2022.
Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences.
Entropy,
Vol. 24,
Issue. 3,
p.
421.
Nielsen, Frank
2022.
Revisiting Chernoff Information with Likelihood Ratio Exponential Families.
Entropy,
Vol. 24,
Issue. 10,
p.
1400.
Bazinas, Vassilios
and
Nielsen, Bent
2022.
Causal Transmission in Reduced-Form Models.
Econometrics,
Vol. 10,
Issue. 2,
p.
14.
Schweinberger, Michael
Bomiriya, Rashmi P.
and
Babkin, Sergii
2022.
A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015.
Journal of Nonparametric Statistics,
Vol. 34,
Issue. 3,
p.
628.
Lauritzen, Steffen
and
Zwiernik, Piotr
2022.
Locally associated graphical models and mixed convex exponential families.
The Annals of Statistics,
Vol. 50,
Issue. 5,
Nguyen, Hien Duy
and
Forbes, Florence
2022.
Global implicit function theorems and the online expectation–maximisation algorithm.
Australian & New Zealand Journal of Statistics,
Vol. 64,
Issue. 2,
p.
255.
Hoffman, Marion
Block, Per
and
Snijders, Tom A. B.
2023.
Modeling Partitions of Individuals.
Sociological Methodology,
Vol. 53,
Issue. 1,
p.
1.
Malyk, I.
and
Litvinchuk, Y.
2023.
ABOUT ONE APPROACH TO THE CONSTRUCTION OF SELF-ADAPTIVE ALGORITHMS BASED ON DISTRIBUTION MIXTURES.
Bukovinian Mathematical Journal,
Vol. 11,
Issue. 2,
p.
183.
Sheena, Yo
2023.
Convergence of estimative density: criterion for model complexity and sample size.
Statistical Papers,
Vol. 64,
Issue. 1,
p.
117.
Asmussen, Søren
and
Glynn, Peter W.
2024.
Refined behaviour of a conditioned random walk in the large deviations regime.
Bernoulli,
Vol. 30,
Issue. 1,
Jeon, Minjeong
and
Schweinberger, Michael
2024.
A latent process model for monitoring progress toward hard-to-measure targets with applications to mental health and online educational assessments.
The Annals of Applied Statistics,
Vol. 18,
Issue. 3,
Souza de Cursi, Eduardo
2024.
Uncertainty Quantification with R.
Vol. 352,
Issue. ,
p.
1.