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Computational Information Geometry in Statistics: Mixture Modelling.

, , , and . GSI, volume 8085 of Lecture Notes in Computer Science, page 319-326. Springer, (2013)

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Using Phase Shift Granger Causality to Measure Directed Connectivity in EEG Recordings., , , , and . Brain Connect., 4 (10): 826-841 (2014)On the Limiting Behaviour of the Fundamental Geodesics of Information Geometry., and . Entropy, 19 (10): 524 (2017)The Information Geometry of Sparse Goodness-of-Fit Testing., , , and . Entropy, 18 (12): 421 (2016)Computational Information Geometry in Statistics: Mixture Modelling., , , and . GSI, volume 8085 of Lecture Notes in Computer Science, page 319-326. Springer, (2013)Computational Information Geometry in Statistics: Theory and Practice., and . Entropy, 16 (5): 2454-2471 (2014)Computing Boundaries in Local Mixture Models., and . GSI, volume 9389 of Lecture Notes in Computer Science, page 577-585. Springer, (2015)Mixture models: building a parameter space., and . Stat. Comput., 27 (3): 591-597 (2017)Testing homogeneity for multiple nonnegative distributions with excess zero observations., , and . Comput. Stat. Data Anal., (2017)Semiparametric inference on the means of multiple nonnegative distributions with excess zero observations., , and . J. Multivar. Anal., (2018)Grammatical typology and frequency analysis: number availability and number use., , , , and . J. Lang. Model., 1 (2): 227-241 (2013)