FR4.R5.1

Ziv–Merhav estimation for hidden-Markov processes

Nicholas Barnfield, Raphaël Grondin, McGill University, Canada; Gaia Pozzoli, CY Cergy Paris Université, France; Renaud Raquépas, New York University, United States
Session:
Estimation 2
Track:
11: Information Theory and Statistics
Location:
Omikron I
Presentation Time:
Fri, 12 Jul, 16:25 - 16:45
Session Chair:
Andrew Thangaraj,
Presentation
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Discussion
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Session FR4.R5
FR4.R5.1: Ziv–Merhav estimation for hidden-Markov processes
Nicholas Barnfield, Raphaël Grondin, McGill University, Canada; Gaia Pozzoli, CY Cergy Paris Université, France; Renaud Raquépas, New York University, United States
FR4.R5.2: Parameter Estimation Based on Noisy Chaotic Signals in the Weak-Noise Regime
Neri Merhav, Technion - Israel Institute of Technology, Israel
FR4.R5.3: Unbiased Estimating Equation on Inverse Divergence and Its Conditions
Masahiro Kobayashi, Kazuho Watanabe, Toyohashi University of Technology, Japan
Resources
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