Top Tweets for #CountData
@DastuPolimi conference @NewWorkingSpace @DastuPolimi special session @Carles_MO @Shifuzhang1919 @ilariamariotti5 presenting #coworkingspace in #Beijing public incentives, high diversity and concentration of creative firms matter #countdata model
Today at 1pm Eastern: "Poisson and Negative Binomial Regression for Count Data," part of our The Craft of Statistical Analysis webinar series. Learn more at https://t.co/9zHtFnKwKi #stats #statistics #webinar #countdata
How do Bayesian #NMixtureModels compare to Poisson #RandomEffectsModels when there isn't true population closure? A case study with #DallsSheep
https://t.co/KjubhW6aaE
#CountData #AerialSurveys #WildlifeMonitoring #OpenAccess
@ColoStateNews @ArcticBiology @uafairbanks
The slides of the seminar "Clustering high-dimensional #CountData through a mixture of #multinomialPCA" are available online! @inria_sophia @LjadNice @SKEMA_BS https://t.co/OkxpPzfMfQ
On January 21 at 10:00, join the online MSI seminar by Nicolas Jouvin (@SorbonneParis1) on #CountData & #MultinomialPCA! @inria_sophia @LjadNice @SKEMA_BS https://t.co/i5Baum9mOH
🌸Our July issue is OUT NOW! Featuring methods for transforming #countdata, quantifying log decay, evaluating #biodiversity offsetting & many more! https://t.co/hnr49UzIAI
Cover image by @kelpfiction
Deadline extended to 31 December 2020!
Special Issue "Discrete-Valued #TimeSeries: #Modelling, #Estimation and #Forecasting", edited by Dr. Brendan McCabe and Dr. Andrew Tremayne @LivUni
Contribute your related research work to🔗https://t.co/PkpQjzKzAY
#CountData
#Testing
Regression analysis of count data
A. Colin Cameron and Prakin K. Trivedi #Countdata #regressionanalysis #STATA
If you don’t count, it doesn’t count. Bike and pedestrian #countdata is an essential tool to justify investments, capture seasonal trends, plan future pedestrian and cycling infrastructure, communicate with stakeholders and the public, and more.
check: https://t.co/hXRXyCnqbv
Mizel et al. have developed an N-mixture model that allows inference about abundance and both arrival and departure timing based on repeated #CountData.
Find out more in this Methods in #Ecology and #Evolution article: https://t.co/E1UtTDBcCd
Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data—Under Conditional Heteroskedasticity Framework https://t.co/RxNMeYnmln @JRFM_MDPI
#countdata; #estimation; #finance; #highfrequency; #intraday; #timeseries; ; #GlobalFinancialMarkets; #econometrics
Hansl-Scripting-Example: "Replicate count data models of doctor visits from Cameron & Trivedi, "Regression Analysis of Count Data" (Cambridge, 1998)"
#statistics #econometrics #datascience #DataAnalytics #CountData
New @UCBSafeTREC publication: "Pedestrian Count Expansion Methods: Bridging the Gap between Land Use Groups and Empirical Clusters" by authors @amedury, Julia B. Griswold, Louis Huang, and @GrembekOffer: https://t.co/7EyJHZUogw #PedestrianSafety #CountData #Research @CaltransHQ
Thank you @OSUStatistics (esp Mario Peruggia) for your hospitality during my visit today! Had a great time presenting my research re. developing a flexible #bivariate distribution for #countdata with #datadispersion!
Methods estimating abundance from unreplicated #CountData are sensitive to how some link functions are specified
http://t.co/6VPc9Alda4
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