Hypothesis testing with communication constraints

By R. Ahlswede, Imre Csiszár. 1986

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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].”
Communication and Memory Efficient Testing of Discrete Distributions (2019, background): “Classical work in information theory Cover (1969); Ahlswede and Csiszar (1986) studies simple hypothesis testing problems with communication constraints (as opposed to the composite testing problems studied in our work).”
Extra Samples can Reduce the Communication for Independence Testing (2018, background): “2) P1 finds the least index j ∈ [2] such that ∑n i=1 Uij · f(Xi) ≥ r √ n holds and sends the k-bit representation of j to P2.”
Social learning and distributed hypothesis testing (2014, background): “o two broad sets. One set deals with the fusion of information observed by a group nodes at a fusion center where the communication links (between the nodes and fusion center) are either rate limited [4]– [12] or subject to channel imperfections such as fading and packet drops [13]–[15]. Our work be”
Interactive hypothesis testing against independence (2013, background): “In their celebrated paper [2], Ahlswede and Csiszár studied the special case in which the sequence X n 2 is fully available at the destination node, i.e., R 2 = ∞.”
Statistical Inference Under Multiterminal Data Compression (1998, background): “The problem of multiterminal hypothesis testing with constant-type constraint has first been investigated in 1986, seven years after the original proposal of Berger [1], and Ahlswede and Csisz´ ar [ 3 ].”
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”
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022, unknown): “Ahlswede and Csiszár studied HT when the decision maker also has its own observations [116].”
Distributed Signal Detection under Communication Constraints (2020, methodology): “Finally, distributed inference under communication constraints was also studied in the information theory community (Ahlswede and Csisz´ar, 1986; Han, 1987; Han and Amari, 1998) to characterize the error exponents as a function of the communication rate.”