Title :
The asymptotic normality of global errors for a histogram based density estimate
Author_Institution :
Tech. Univ. Budapest, Hungary
Abstract :
The paper considers a sequence of i.i.d. real valued random variables with common unknown density and examines the histogram estimate. It addresses the problem of estimating an unknown probability density function in information divergence
Keywords :
error analysis; estimation theory; information theory; probability; asymptotic normality; global errors; histogram based density estimate; information divergence; real valued random variables; Histograms;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513874
