Quantifying statistical interdependence, Part III: N > 2 point processes

Neural Computation

Volumn 24, Issue 2, 2012, Pages 408-454

  Dauwels, Justin ^a   Weber, Theophane ^b   Vialatte, François ^c,d   Musha, Toshimitsu ^e   Cichocki, Andrzej ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^d PSL RESEARCH UNIVERSITY   (France)

^e Brain Functions Laboratory   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BIOLOGICAL MODEL; ELECTROENCEPHALOGRAPHY; HUMAN; LETTER; MILD COGNITIVE IMPAIRMENT; NERVE CELL; PATHOPHYSIOLOGY; PHYSIOLOGY; STATISTICAL MODEL; STATISTICS; TIME;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; HUMANS; MILD COGNITIVE IMPAIRMENT; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; STOCHASTIC PROCESSES; TIME FACTORS;

INTEGER PROGRAMMING; PARAMETER ESTIMATION; RELIABILITY; STOCHASTIC SYSTEMS;

LINEAR INTEGER PROGRAMMING; MAXIMUM A POSTERIORI ESTIMATION; MAXIMUM-A-POSTERIORI ESTIMATIONS; ONE-DIMENSIONAL; POINT PROCESS; SIMILARITY MEASURE; STATISTICAL INFERENCE; STOCHASTIC EVENTS; SYNTHETIC DATA; TIMES SERIES;

TIME SERIES;

EID: 84856390183     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00235     Document Type: Letter

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