human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "directed information causal estimation and communication in continuous time"
  Abstract: A notion of directed information between two continuous-time processes is proposed. A key component in the definition is taking an infimum over all possible partitions of the time interval, which plays a role no less significant than the supremum over "space" partitions inherent in the definition of mutual information. Properties and operational interpretations in estimation and communication are then established for the proposed notion of directed information. For the continuous-time additive white Gaussian noise channel, it is shown that Duncan's classical relationship between causal estimation and information continues to hold in the presence of feedback upon replacing mutual information by directed information. A parallel result is established for the Poisson channel. The utility of this relationship is then demonstrated in computing the directed information rate between the input and output processes of a continuous-time Poisson channel with feedback, where the channel input process is constrained to be constant between events at the channel output. Finally, the capacity of a wide class of continuous-time channels with feedback is established via directed information, characterizing the fundamental limit on reliable communication.

Connected through hyperedge HE-1 (induced by source paper "generic variance bounds on estimation and prediction errors in time series analysis an entropy perspective"):
  with members:
    - "feedback capacity of stationary gaussian channels"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-2 (induced by source paper "a survey on mimo transmission with discrete input signals technical challenges advances and future trends"):
  with members:
    - "asymptotic performance analysis of a k hop amplify and forward relay mimo channel"
    - "iterative distributed minimum total mse approach for secure communications in mimo interference channels"
    - "asymptotic analysis of su mimo channels with transmitter noise and mismatched joint decoding"
    - "secure massive mimo transmission with an active eavesdropper"
    - "interference aligned space time transmission with diversity for the 2 times 2 x network"
    - "space time encoded miso broadcast channel with outdated csit an error rate and diversity performance analysis"
    - "high snr asymptotics of mutual information for discrete constellations with applications to bicm"
    - "differential distributed space time coding with imperfect synchronization in frequency selective channels"

Connected through hyperedge HE-3 (induced by source paper "on continuous time gaussian channels"):
  with members:
    - "upper and lower bounds on the capacity of amplitude constrained mimo channels"
    - "recent results in continuous time network information theory"
    - "wireless network information flow a deterministic approach"
    - "limit theorems in hidden markov models"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "on the gaussian mac with imperfect feedback"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"

Connected through hyperedge HE-4 (induced by source paper "remote state estimation over packet dropping links in the presence of an eavesdropper"):
  with members:
    - "the ceo problem with secrecy constraints"
    - "sensor scheduling in variance based event triggered estimation with packet drops"
    - "distributed inference in the presence of eavesdroppers a survey"
    - "filter design with secrecy constraints the mimo gaussian wiretap channel"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-5 (induced by source paper "learning network of multivariate hawkes processes a time series approach"):
  with members:
    - "directed information graphs"

Connected through hyperedge HE-6 (induced by source paper "estimating the directed information and testing for causality"):
  with members:
    - "a characterization of the minimal average data rate that guarantees a given closed loop performance level"
    - "information networks with in block memory"
    - "universal estimation of directed information"
    - "detection and isolation of link failures under the agreement protocol"
    - "the relation between granger causality and directed information theory a review"
    - "interpretations of directed information in portfolio theory data compression and hypothesis testing"
    - "feedback capacity of the compound channel"
    - "the capacity region of the degraded finite state broadcast channel"

Connected through hyperedge HE-7 (induced by source paper "coding theorem and converse for abstract channels with time structure and memory"):
  with members:
    - "the szeg o asymptotics for doubly dispersive gaussian channels"
    - "on the sensitivity of continuous time noncoherent fading channel capacity"
    - "noncoherent capacity of underspread fading channels"
    - "on multipath fading channels at high snr"

Connected through hyperedge HE-8 (induced by source paper "minimax filtering via relations between information and estimation"):
  with members:
    - "capacity of gaussian channels with duty cycle and power constraints"
    - "information theoretic limits on learning stochastic differential equations"
    - "mutual information relative entropy and estimation in the poisson channel"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)