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Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations
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Classify Aquatic Animal Behaviours from Vertical Movement Data
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The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data
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Dataset of Measurements of Fish Species at Kirkkojarvi Lake, Finland
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Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta Log-Normal Models
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Proximate Composition Analysis of Fish and Feed Ingredients
3 months ago by Jesse S. Ghashti
Fair Interpolated Transport for Group-Fair Clustering
a year ago by Stephen Jewson
Distribution Fitting with Calibrating Priors for Commonly Used Distributions
10 months ago by Aurélie Siberchicot
Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
4 years ago by Daniel P. Palomar
Mean and Covariance Matrix Estimation under Heavy Tails
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Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data
8 months ago by Colin Smith
Multidimensional Nuclear Magnetic Resonance Peak Fitting and Analysis
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Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
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Fit Hundreds of Theoretical Distributions to Empirical Data
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Fit the Vector Autoregressive Model for Multiple Individuals
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Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'
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Fixed-b Critical Values for Robust Inference with Time Series Data
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Algorithms for Finding Fixed Point Vectors of Functions
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The Distribution of Distances Between Discrete Events in Fixed Time
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Johansen Cointegration Test with Fourier-Type Smooth Nonlinear Trends
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Available Light Within the Water Column and on the Seafloor of Arctic Fjords
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Functional K-Centroids Clustering Using Phase and Amplitude Components
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Fréchet Distance-Based K-Means and Extensions for Longitudinal Data
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Implementing Computational Models of Attentional Selectivity
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Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models
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Penalized Estimation for Multi-State Models with Lasso and Fused Penalties
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Transforms Contingency Tables to Data Frames, and Analyses Them
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Flexible, Ensemble-Based Variable Selection with Potentially Missing Data
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Fast & Flexible Implementation of Bayesian Causal Forests
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Causal Effect Estimation via Doubly Robust One-Step Estimators and TMLE in Graphical Models with Unmeasured Variables
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Estimation of a Variety of Count Regression Models
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Tools to Work with the Flexible Dirichlet Distribution
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Generalized Additive Models with Flexible Response Functions
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Dynamic Failure Rate Distributions for Survival Analysis
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Flexible Matching for Stacked Difference-in-Differences