Hypothesis testing with multiterminal data compression

By Te Sun Han. 1987

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Citations in the corpus

Inference Under Information Constraints I: Lower Bounds From Chi-Square Contraction (2018, background): “In a parallel thread, distributed statistical inference under communication constraints was initially studied in the information theory community [5], [30], [31], with the objective to characterize the asymptotic error exponents as a function of the communication rate.”
Distributed Simulation and Distributed Inference (2018, background): “A variant of this problem where each player gets different (correlated) coordinates of the independent samples has been studied extensively in the information theory literature (cf. [AC86, Han87, HA98]).”
Inference Under Information Constraints II: Communication Constraints and Shared Randomness (2019, background): “Distributed hypothesis testing and estimation problems were first studied in information theory, although in a different setting than what we consider [6], [30], [31].”
Two Party Distribution Testing: Communication and Security (2018, background): “This aspect parallels the quest for low memory or communication usage for hypothesis testing on a single distribution , initiated in the statistics community [Cov69, HC70] and [AC86, Han87, A + 98].”
On Optimal Data Compression in Multiterminal Statistical Inference (2011, background): “(3) (4) Given a codeword , we call the subset , that is, the inverse image of , a cluster corresponding to and denote it also by , when no confusion occurs.”
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022, unknown): “The more general distributed setting is considered in [117].”
Interactive hypothesis testing against independence (2013, background): “Later, Han [3] and Shimokawa, Han, and Amari [4] provided a new coding scheme that improves upon the Ahlswede and Csiszar inner bound for the general hypothesis testing problem.”
Statistical Inference Under Multiterminal Data Compression (1998, background): “2 (Han [4]):Suppose that holds, then there exists some constant such that for all and all”
Testing against independence with multiple decision centers (2016, methodology): “This problem is formulated in the same spirit as the seminal works of Ahlswede, Csiszár and Han [1], [2]: The main aim will be to determine the maximum exponents of the type-II error probabilities (the probability of incorrectly choosing the dependent-data hypothesis when the independent-data hypoth”