Top Tweets for #BayesianStatistics
Bayes, AI, and Deep Learning: Foundations of Data Science (Chapman & Hall/CRC Texts in Statistical Science)
๐ Get Now: https://t.co/uDna0ftIps
#BayesianStatistics ๐ | #ArtificialIntelligence ๐ค | #DeepLearning ๐ง | #DataScience ๐ฌ | #ProbabilityTheory ๐ฏ
๐ OxYSS is back!
Our first talk of the year will be given by Antoine Luciano on Bayesian Adversarial Privacy.
๐
14 October, 4pm
๐ Small Lecture Theatre, Department of Statistics
๐ Paper: https://t.co/oqwfRNaLLo
#OxYSS #BayesianStatistics #Privacy
An empty shelf looks exactly like weak demand to a forecasting model.
You sold nothing because you had nothing, and it tells you to order even less next time.
#Forecasting for Decision Making.
Free webinar, Aug 11: https://t.co/S1ZHiIDmiC
#BayesianStatistics #DataScience
Proud of this collaboration between @UniTrieste, @AreaSciencePark, @Sissaschool , @humantechnopole and colleagues.
Thanks also to founders from @AIRC_it
#SingleCell #Bioinformatics #BayesianStatistics #Genomics
๐ Fully Funded PhD in Biostochastics (Sweden ๐ธ๐ช)
๐ถ Fully funded 4-year PhD with competitive doctoral salary progression + outstanding research environment and benefits
โ
Passionate about #ComputationalBiology #DeepLearning #BayesianStatistics ๐งฌ๐ง ๐
โ
Highly recommend this advanced interdisciplinary #fullyfunded #PhDPosition within the Department of Microbiology, Tumor and Cell Biology at @karolinskainst ๐ธ๐ช
๐ This #phdproject focuses on developing flexible yet interpretable statistical and deep learning models for complex biological systems
Youโll work on:
๐ท Developing new modeling frameworks that bridge mechanistic and data-driven approaches
๐ท Designing and implementing deep learning and generative modeling methods for biological systems
๐ท Working across ecology, phylogenetics, and protein generative modeling applications
๐ท Applying advanced Bayesian inference, stochastic processes, Gaussian Processes, and latent-variable models
๐ท Conducting computational experiments and collaborating with experimental biology labs
๐ท Publishing cutting-edge interdisciplinary research at the intersection of statistics, AI, and biology
๐ Contribute to next-generation computational biology by developing interpretable and scalable models that advance understanding of complex living systems.
โ
Work with Dr. @BenjMurrell and the Biostochastics research environment at Karolinska Institutet
โฐ ๐๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ: ๐ญ๐ฑ๐๐ต ๐๐๐ป๐ฒ, ๐ฎ๐ฌ๐ฎ๐ฒ
๐ Full details & apply here:
๐ https://t.co/hPF0HJChrc
๐ฉ Want more like this?
โ Follow @PhdScanner and join WhatsApp for updates:
https://t.co/d89Rl8tH7S
๐ Visit: https://t.co/yET6DsYARx
#fullyfundedPhD #PhDposition #KarolinskaInstitutet #Sweden #Biostochastics #ComputationalBiology #DeepLearning #GenerativeModels #BayesianStatistics #MachineLearning #Bioinformatics #ResearchOpportunity
@phdhardtalk
โป๏ธ Share with someone applying this cycle
@Wegmans needed to quantify cannibalization risk before opening new stores. We built a Bayesian system that answers in minutes, not weeks.
Full technical walkthrough: https://t.co/wkMSBjIFKm
#RetailAnalytics #BayesianStatistics #PyMC
"How many people did COVID kill in the UK?" is the wrong question.
The right one is counterfactual: how many would have died without it?
You can't observe that world. You have to model it.
#BayesianStatistics #PyMC #CausalInference
How can Bayesian methods help us learn more from Studies Within A Trial (SWATs)? Find out here where we explore how Bayesian methods and ACCEPT analysis help us get more meaningful insights from SWATs: https://t.co/As9SeOqPpv #Trials #TrialMethodology #SWAT #BayesianStatistics
NITheCS & SU Dept. of Statistics Seminar:
โBayesian study on tumour burden using functional uniform priors in nonlinear mixed-effects modelsโ by Mia Meyer
๐
Fri, 24 Apr
โฐ 13h10โ14h10
๐ https://t.co/H2MxjBUWGe
#BayesianStatistics #Biostatistics #NonlinearModels #CancerResearch
Featured case study from the community: a two-pillar Bayesian CLV framework for a nonprofit, built on pymc-marketing.
1M+ records, MCMC vs. MAP tradeoffs, and a full Databricks deployment walkthrough
Read the blog here: https://t.co/tT73QWo9sP
#PyMC #BayesianStatistics #CLV
We're bringing Bayesian modeling to London, live and in person!
June 8-10: Learn to build probabilistic models in #PyMC, guided by its creators.
Small cohort, hands-on, walk out with working code. Seats are limited.
๐ https://t.co/34awl0kGIb
#BayesianStatistics
Selecting an appropriate prior distribution is a crucial step in Bayesian analysis ๐. This snapshot shows some of the common distributions used in statistical modeling, including Beta, Exponential, and Normal.
#BayesianStatistics #Biostatistics #StatisticalModeling #UG-SPH
Python for data science and statistical computing in PhD research.
Taught by Mark Andrews, Senior Lecturer in Psychology and long standing instructor in applied Bayesian data analysis.
7โ8 April
https://t.co/tKrb4CXyhe
#PhDStudents #Python #DataScience #BayesianStatistics
๐ฃ Deal of the Day ๐ฃ Oct 6
HALF OFF NEW MEAP!
Grokking Bayes & selected titles: https://t.co/hUkuLb7KMD
A complete guide to thinking in Bayes, full of fun illustrations and friendly introductions. @the_subtrahend #Bayesian #BayesianStatistics #BayesianInference #ProbabilisticProgramming #PyMC #stats #statistics
Bayesian statistics is a framework for reasoning under uncertainty. You'll first build an intuition, and then translate that intuition into working code with Python tools like the PyMC library and ArviZ package. Along the way, you'll explore how Bayesian ideas connect to modern AI, from uncertainty-aware deep learning to LLM applications.
The use of Bayesian methods in the design of trials and the analysis of the findings provides several potential benefits, which may be particularly applicable in Trauma & Orthopaedic surgery.
#ClinicalTrials #BayesianStatistics #RCTs #Ortho @docfarrow
https://t.co/Qv9HwZpdMr
Out Now! Learning ecosystem-scale dynamics from microbiome data with MDSINE2 https://t.co/VrflBV6Pwn #Microbiome #BayesianStatistics #EcosystemDynamics
Online Course - Live and Online
Registration:
https://t.co/kEhh5LkkPM
#SpeciesDistributionModelling #BayesianStatistics
#EcologicalModelling #RStats #QuantitativeEcology
#SpatialEcology #EnvironmentalDataScience
#Biostatistics #EcologyTraining #StatisticalModelling
Bayesian variable selection + stochastic search in R ๐
Check out this great ML-ready guide by Lukasz Gatarek ๐ https://t.co/SfBWw375gd
#rstats #DataScience #MachineLearning #BayesianStatistics #RProgramming
Coming soon: A Special Issue on Chronological Modelling. Read one of the papers in #EarlyView, โA new conservative and robust Bayesian approach for the event date model in chronology buildingโ
https://t.co/qEujeABlcm
#OpenAccess #BayesianStatistics #MCMCmethods #TypoChronology
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