The avatar for @mattiasvillani
Mattias Villani
Professor of Statistics at Stockholm University
Public
Edited
May 18
Fork of Maximum likelihood - Poissonregression
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2 forks
1
STM
The exponential functionThe logarithm functionThe derivativeFunction optimizationA function and its derivativesThe Riemann integralThe Taylor approximationBernoulli distributionBinomial distributionPoisson distributionGeometric distributionNegative binomial distributionUniform distributionTriangular distributionNormal (Gaussian) distributionExponential distributionGamma distributionChi2-distributionBeta distributionStudent-t distribution (three-parameter)Chebyshev's inequality
Maximum likelihood - Poisson regression
Central limit theoremLaw of Large NumbersSecond derivative measures the curvature of a functionConfidence interval for a meanSampling distribution and likelihood function - Bernoulli modelMaximum likelihood - Bernoulli dataMaximum likelihood for iid Poisson dataMultivariate normal distributionLikelihood and information
Also listed in…
Basic Statistics
SDA3
Bayesian Learning
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import {toc} from "@mbostock/toc"
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import {addColumn} from "@observablehq/excel-add-columns"
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optimjs = require('optimization-js@1.5.0/dist/optimization.js')
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data_high = ebaydata.filter(d => d.ReservePriceFrac > reserve_threshold)
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y = Array.from(d3.map(data, d => d.NBidders))
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y_high = Array.from(d3.map(data_high, d => d.NBidders))
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mle = d3.mean(y)
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mle_high = d3.mean(y_high)
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regdata = ebaydata.map(d => ({y: d.NBidders, x: d.ReservePriceFrac}))
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