[go: up one dir, main page]

Wang et al., 2023 - Google Patents

2RV+ HRV and Testing for Strong VS Full Dependence

Wang et al., 2023

View PDF
Document ID
12970115418547300199
Author
Wang T
Resnick S
Publication year
Publication venue
arXiv preprint arXiv:2312.16332

External Links

Snippet

Preferential attachment models of network growth are bivariate heavy tailed models for in- and out-degree with limit measures which either concentrate on a ray of positive slope from the origin or on all of the positive quadrant depending on whether the model includes …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation, credit approval, mortgages, home banking or on-line banking
    • G06Q40/025—Credit processing or loan processing, e.g. risk analysis for mortgages
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management

Similar Documents

Publication Publication Date Title
Widmann et al. Calibration tests in multi-class classification: A unifying framework
Dwivedi et al. Singularity, misspecification and the convergence rate of EM
Scheines et al. Bayesian estimation and testing of structural equation models
Kirch et al. Modified sequential change point procedures based on estimating functions
Goldfeld et al. Limit distribution theory for smooth p-Wasserstein distances
Auddy et al. Exact Detection Thresholds and Minimax Optimality of Chatterjee's Correlation Coefficient
Wang et al. 2RV+ HRV and Testing for Strong VS Full Dependence
Khamaru et al. Near-optimal inference in adaptive linear regression
Döhler et al. New FDR bounds for discrete and heterogeneous tests
Lee et al. EMMIXcskew: an R package for the fitting of a mixture of canonical fundamental skew t-distributions
Davis et al. Asymptotic normality and optimality in nonsmooth stochastic approximation
Kang et al. On the submartingale problem for reflected diffusions in domains with piecewise smooth boundaries
Hasenpflug et al. Reversibility of elliptical slice sampling revisited
Guo et al. Statistical robustness of empirical risks in machine learning
Xu et al. Quantitative statistical robustness in distributionally robust optimization models
Bastian et al. Testing equivalence of multinomial distributions—A constrained bootstrap approach
Zhang et al. Statistical robustness of kernel learning estimator with respect to data perturbation
Embrechts et al. Ruin problem and how fast stochastic processes
US6434511B1 (en) Processor and method for determining the statistical equivalence of the respective mean values of two processes
Szczuka et al. Function Approximation and Quality Measures in Rough–Granular Systems
Kristensen et al. Local polynomial estimation of time-varying parameters in nonlinear models
Mies et al. Projection inference for high-dimensional covariance matrices with structured shrinkage targets
Forneron et al. Inference by Stochastic Optimization: A Free-Lunch Bootstrap
Liu et al. Estimation and inference for causal functions with multiway clustered data
Ahmed et al. Exact consistency tests for Gaussian mixture filters using normalized deviation squared statistics