Listen Score
LS 41
Global Rank
TOP 1.5%

关于这个播客 🔗

主持人:
更新频率:
every 6 days
平均音频长度:
57 minutes
嘉宾访谈
有赞助商
英语
美国
222 集
自从 2019年9月20日
episodic

AUDIENCE OF THIS PODCAST 🔗

~54.82% of listeners are from United States.
🇺🇸
US
54.82%
🇬🇧
GB
15.32%
🇨🇦
CA
7.79%
🇩🇪
DE
3.17%
🇧🇷
BR
1.71%
🇷🇴
RO
1.58%
🇪🇸
ES
1.45%
🇫🇮
FI
1.32%
🇮🇳
IN
1.18%
🇫🇷
FR
1.18%
🇦🇺
AU
1.05%
🇦🇷
AR
0.92%
🇸🇪
SE
0.79%
🇮🇹
IT
0.79%
🇰🇷
KR
0.66%
🇨🇿
CZ
0.66%
🇿🇦
ZA
0.66%
🇱🇺
LU
0.66%
🇧🇬
BG
0.52%
🇳🇱
NL
0.39%
🇦🇹
AT
0.39%
🇲🇽
MX
0.26%
🇳🇿
NZ
0.26%
🇧🇪
BE
0.26%
🇽🇰
XK
0.26%
🇰🇪
KE
0.13%
🇮🇪
IE
0.13%
🇸🇩
SD
0.13%
🇹🇼
TW
0.13%
🇹🇷
TR
0.13%
🇸🇦
SA
0.13%
🇺🇦
UA
0.13%
🇪🇹
ET
0.13%
🇸🇬
SG
0.13%
🇳🇬
NG
0.13%
🇨🇱
CL
0.13%
🇮🇶
IQ
0.13%
🇵🇦
PA
0.13%
🇳🇴
NO
0.13%
Others
0.13%
* Data source: directly measured on Listen Notes. 实时

最新一集 🔗

Today's clip is from Episode 166, featuring Bill Engels & Jesse Grabowski. In this conversation, Bill explains what a kernel means in a Gaussian process and how it defines the idea of similarity between data points. He then breaks down the role of the length scale, showing how it controls how...

搜索以前的节目

搜索Learning Bayesian Statistics以前的节目。

以前的节目

Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Takeaways: Q: What is PTGP and why did Bill and Jesse build it?A: PTGP is a new Gaus...
Today's clip is from Episode 165, featuring Alex Fengler. In this conversation, Alex introduces Bayesify , a tool that uses AI to analyze research papers and assess how well they follow a Bayesian workflow.He explains how the tool breaks an analysis down step by step, identifies strengths and wea...
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Takeaways: Q: What is HSSM and how does it relate to HDDM?A: HSSM stands for hierarc...
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains how Bayesian principal stratification can be used to reason about treatment effects when there is an intermediate treatment or outcome that is only partially obser...
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains why a Bayesian workflow goes far beyond simply fitting a model. He discusses the importance of building, fitting, and checking models, and why moving between simpl...
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work Takeaways:Q: What is the "Bayesian Workflow" book about, and who is it for? A: It co...
Today's clip is from Episode 154, featuring Thomas Pinder. In this conversation, Thomas shares what he sees as the next steps for GPJax and how the project could become easier to use beyond its original research-focused audience.He discusses creating a higher-level interface that could make fitti...
Today's clip is from Episode 163, featuring Eliot Carlson and Adrian Seyboldt. In this conversation, Eliot and Adrian look beyond current approaches to HMC adaptation and preconditioning and share the ideas they're most excited to explore next.Eliot discusses new ways of parallelizing MCMC by sol...
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work Takeaways:Q: What is mass matrix adaptation, in plain terms?A: Mass matrix adaptation...
免责声明: 本页面嵌入的播客和封面图片来自 Alexandre Andorra,归其所有者所有,与 Listen Notes, Inc. 无关联,也未获得 Listen Notes, Inc. 背书。