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Consistency of maximum likelihood estimation for some dynamical systems

UNC Libraries(2021)10.17615/tesw-ej74Source: DataRank Database

Consistency of maximum likelihood estimation for some dynamical systems is a research paper published in UNC Libraries (2021). On theSindex it has a DataRank of 0.

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›Methodology & internals
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: greenTopics (44)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)
  • Has DOI
Accessible (1/2)
  • Open Access
Interoperable (0/2)
    Reusable (0/3)

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      Authors (4)

      Andrew B. NobelORCID,Sayan MukherjeeORCID,Kevin McGoffORCID,Natesh S. Pillai
      Live enrichment
      PubMed:21097893OpenAlex:https://openalex.org/W4298407650

      National Science Foundation

      Grant: 0907177

      Significance Based Procedures for Mining and Prediction of Large Data Sets

      National Institutes of Health

      Grant: 5P50GM081883-02

      Duke Center for Systems Biology

      National Science Foundation

      Grant: 1107070

      Statistical Inference for Stochastic Processes, Analysis of MCMC Algorithms and Applications to Climate Science

      National Science Foundation

      Grant: 1049290

      AF: EAGER: Collaborative Research: Integration of Computational Geometry and Statistical Learning for Modern Data Analysis

      National Science Foundation

      Grant: 1209155

      Collaborative Research: Numerical algebra and statistical inference

      FWCI

      0.00

      Citation Percentile

      0.2%

      greenLicense: arXiv Non-Exclusive Distribution
      repositoryhttps://doi.org/10.17615/tesw-ej74
      https://doi.org/10.1214/14-aos1259
      https://dx.doi.org/10.17615/tesw-ej74
      https://dx.doi.org/10.48550/arxiv.1306.5603
      http://arxiv.org/abs/1306.5603

      Fields of Study

      Target Tracking and Data Fusion in Sensor Networks01 natural sciences0101 mathematics

      Keywords

      Consistency (knowledge bases)EstimationMaximum likelihoodEconometricsStatisticsMathematicsStrong consistencyComputer scienceApplied mathematicsEconomicsArtificial intelligenceEstimator62B10Measures of information, entropyErgodicity, mixing, rates of mixingmaximum likelihood estimationMathematics - Statistics TheoryStatistics Theory (math.ST)Dynamical Systems (math.DS)Statistical aspects of information-theoretic topicsNon-Markovian processes: estimation62M09Dynamical systems and their relations with probability theory and stochastic processes62M05Dynamical systemsFOS: Mathematics37A50Mathematics - Dynamical SystemsAsymptotic properties of parametric estimatorsinformation theory37A25Uniformly hyperbolic systems (expanding, Anosov, Axiom A, etc.)37D20hidden Markov modelsMarkov processes: estimation; hidden Markov models94A17Large deviationsTime series, auto-correlation, regression, etc. in statistics (GARCH)62M1062F1260F10

      Sustainable Development Goals

      SDG 16: 16. Peace & justice