Preprints Resulting from Work under SRO 106: Non-Gaussian Signal Processing.

Abstract

Contents: The Likelihood Ratio Detector for Non-Gaussian Infinitely Divisible and Linear Stochastic Processes; The Equivalence of Weak, Strong and Complete Convergence in L1 for Kernel Density Estimates; On the Inconsistency of Bayesian Non-Parametric Estimators in Competing Risks/Multiple Decrement Models; When Does the Beta-th Percentile Residual Life Function Determine the Distribution; Variational Sums and Generalized Linear Processes; Identifiability for Dependent Multiple Decrement/Competing Risk Models; The Underwriting Risk and Return Paradox Revisited; Density Estimates of Surface and Bottom Reverberation.

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Document Details

Document Type
Technical Report
Publication Date
Aug 02, 1982
Accession Number
ADA119103

Entities

People

  • Patrick L. Brokett

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Consistency
  • Data Science
  • Detection
  • Detectors
  • Differential Equations
  • Distribution Functions
  • Equations
  • Information Science
  • Probability
  • Probability Distributions
  • Random Variables
  • Sequences
  • Signal Processing
  • Statistical Analysis
  • Stochastic Processes
  • Surveys

Readers

  • Acoustical Oceanography.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms