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Every paper Pith has read. Search by title, abstract, or pith.
377 papers in stat.CO · page 8
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PARCOR models lower dimension for multivariate time series
Efficient Bayesian PARCOR Approaches for Dynamic Modeling of Multivariate Time Series
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Any context can host a continuously updated data analysis system
Continuously Updated Data Analysis Systems
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Coupled sampling improves SV model fitting speed
An Approach to Efficient Fitting of Univariate and Multivariate Stochastic Volatility Models
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Poly-time algorithm approximates log-concave MLE to additive ε
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
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Short histories recover hidden manifold for density transport
A geometric approach to the transport of discontinuous densities
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AMCI enables arbitrary-accuracy Monte Carlo estimates from single samples
Amortized Monte Carlo Integration
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Subsampling cuts per-step cost of MCMC for big data
Stochastic gradient Markov chain Monte Carlo
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Two conditions guarantee exact samples from recursive algorithms
Designing Perfect Simulation Algorithms using Local Correctness
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Bayesian synthesis builds probabilistic programs for data modeling
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
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R package rcosmo brings HEALPix tools to spherical data analysis
rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data
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l0-l1 mix yields sparser unit-sum regressions than l1
Sparse Unit-Sum Regression
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Quotient approximations enable tractable GM fusion for decentralized tracking
Decentralized Gaussian Mixture Fusion through Unified Quotient Approximations
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Guidelines target bias in benchmarks for model optimization fitting
Guidelines for benchmarking of optimization approaches for fitting mathematical models
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GMRF on continuous domain cuts CO2 flux aggregation errors
Spatio-Temporal Reconstructions of Global CO2-Fluxes using Gaussian Markov Random Fields
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Shiryaev-Roberts quasi-stationary cdf converges at O(log(A)/A)
On the Convergence Rate of the Quasi- to Stationary Distribution for the Shiryaev-Roberts Diffusion
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Best-discrepancy splits lower CV error 7% on 156 datasets
Subsampling Bias and The Best-Discrepancy Systematic Cross Validation
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Bayesian copula with Dirichlet process tests multivariate normality
A Bayesian Semiparametric Gaussian Copula Approach to a Multivariate Normality Test
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INLA gives fast deterministic posteriors for latent Gaussian models
Integrated Nested Laplace Approximations (INLA)
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Particles with adaptive surrogates approximate Gibbs posteriors
Adaptive particle-based approximations of the Gibbs posterior for inverse problems
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Ridge functions bound mean dimension when continuous
Mean Dimension of Ridge Functions
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ensr package searches both lambda and alpha for elastic net
ensr: R Package for Simultaneous Selection of Elastic Net Tuning Parameters
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trialr package brings Stan Bayesian trial designs to R
trialr: Bayesian Clinical Trial Designs in R and Stan
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New algorithm finds maximal gambles faster than priors
Improving and benchmarking of algorithms for decision making with lower previsions
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R package stochvol provides MCMC for Bayesian volatility models
Dealing with Stochastic Volatility in Time Series Using the R Package stochvol
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Windowed active set solves convolutional Lasso linearly in time
Large scale Lasso with windowed active set for convolutional spike sorting
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Python library computes calibration weights faster via dual optimization
A Python Library For Empirical Calibration
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Mixture of five copulas estimates high-dimensional dependence
Copula Density Estimation by Finite Mixture of Parametric Copula Densities
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Web app computes sample sizes for multi-arm trials
A web application for the design of multi-arm clinical trials
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Multiscale scan localizes unknown-size submatrix anomaly
A Multiscale Scan Statistic for Adaptive Submatrix Localization
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Bandit design rankings reverse between small and moderate horizons
The Finite-Horizon Two-Armed Bandit Problem with Binary Responses: A Multidisciplinary Survey of the History, State of the Art, and Myths
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The paper proposes K Tau Centers
Robust Clustering Using Tau-Scales
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Kernel multilogit algorithm records lowest microarray error rates
PLS Generalized Linear Regression and Kernel Multilogit Algorithm (KMA) for Microarray Data Classification
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Dynamic nested sampling boosts efficiency for Bayesian estimates
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
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Reusing all MultiNest points gives 10x more accurate evidence
Importance Nested Sampling and the MultiNest Algorithm
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emcee sampler needs only 1-2 parameters tuned for MCMC
emcee: The MCMC Hammer