HackerNoonExplore a curated list of influential academic references covering the history and modern developments in empirical Bayes and panel data econometrics https://hackernoon.com/the-evolution-of-econometric-modeling-a-guide-to-influential-papers-on-panel-data #lossfunction
This article explores the concept of regret in empirical Bayes, specifically in the context of the Tweedie oracle rule. https://hackernoon.com/the-tweedie-oracle-and-regret-bounds-in-empirical-bayes-methods #lossfunction
A flexible approach that allows for nonparametric estimation of location and scale effects, providing a more reliable way to predict income trajectories https://hackernoon.com/modeling-income-trajectories-an-empirical-bayes-approach-to-panel-data #lossfunction
Discussing key concepts like partial identification and the transformation of binomial models to the Gaussian framework. https://hackernoon.com/beyond-gaussian-mixtures-applying-empirical-bayes-to-discrete-data-problems #lossfunction
This article explores the history and modern developments of nonparametric maximum likelihood estimation (NPMLE) for mixture models. https://hackernoon.com/nonparametric-maximum-likelihood-estimation-a-practical-guide-to-mixture-models #lossfunction
This article explores variations on the James-Stein estimator, focusing on the Efron-Morris rule and its implications for shrinkage in statistical analysis. https://hackernoon.com/the-efron-morris-rule-a-practical-application-of-the-empirical-bayes-paradigm #lossfunction
This tutorial introduces the principles of Empirical Bayes and its frequentist interpretation, with an emphasis on modern nonparametric maximum likelihood https://hackernoon.com/empirical-bayes-methods-for-compound-decision-problems-principles-and-applications #lossfunction
Victoria Stuart 🇨🇦 🏳️⚧️Uber started using 'algorithmic pricing' in Canada. Is that a good or bad thing?
https://www.cbc.ca/news/business/uber-algorithmic-pricing-canada-1.7350399
"Uber has found a way to take more money from us," said George Wedge, an Uber driver in Toronto.
* worries AI-based pay model will mean lower wages for drivers. higher fares for riders
#Uber #UpfrontOffers #UpfrontPayment #AI #AlgorithmicPricing #DynamicPricing #corporations #inflation #PriceGouging #consumerism #optimization#CostFunction #LossFunction
Uber started using 'algorithmic pricing' in Canada. Is that a good or bad thing? | CBC News
Uber rolled out a new pay model this week in Ontario, where an AI-powered algorithm determines what drivers earn beyond the distance and duration of each ride. The new pay was launched in B.C. last month and has been used in the U.S. for two years, where worker advocates and drivers say it's a bad deal for them that also hurts consumers.
Anger over concert dynamic pricing
https://www.cbc.ca/news/business/marketplace-cheat-sheet-sep8-1.7315383
* Britain's competition watchdog, Competition & Markets Authority investigating Ticketmaster over sale of Oasis tickets
* dynamic pricing hiked cost to fans at last minute
* most thought they would pay advertised £148.50 ($264 CDN); ended up paying £355.20 ($632)
#AI #AlgorithmicPricing #DynamicPricing #corporations #CorporateGreed #TicketMaster #inflation #PriceGouging #consumerism #optimization #CostFunction #LossFunction #Oasis #CMA
[thread] algorithmic pricing, dynamic pricing
https://en.wikipedia.org/wiki/Algorithmic_pricing
* automatically setting price to maximize seller's profits
[thread] affordable housing | private equity, corporations, corporate greed, inflation, profiteering
https://mastodon.social/@persagen/110543876769745739
Canadian mega landlord Dream Unlimited using AI pricing to massively hike rents
https://mastodon.social/@persagen/113080600389935351
#AI #AlgorithmicPricing #DynamicPricing #corporations #inflation #PriceGouging #consumerism #optimization #CostFunction #LossFunction