Videos

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ASTRO Fall Course: James P. Long- Some Statistical Aspects of Photometric Redshift Estimation Thumbnail

ASTRO Fall Course: James P. Long- Some Statistical Aspects of Photometric Redshift Estimation

November 9, 2016
SAMSI
ASTRO Fall Course: Hyungsuk Tak- Strong Lens Time Delay Estimation Thumbnail

ASTRO Fall Course: Hyungsuk Tak- Strong Lens Time Delay Estimation

November 2, 2016
SAMSI
ASTRO Fall Course: Jessi Cisewski- Approximate Bayesian Computation Thumbnail

ASTRO Fall Course: Jessi Cisewski- Approximate Bayesian Computation

October 26, 2016
SAMSI
ASTRO Fall Course: Tom Loredo- Hierarchical Bayesian Modeling Thumbnail

ASTRO Fall Course: Tom Loredo- Hierarchical Bayesian Modeling

October 19, 2016
SAMSI

(Cancer) Genomics via (Sub) Optical Mapping

Presenter
  • Bud Mishra
September 28, 2016
MBI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part III Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part III

September 21, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part II Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part II

September 14, 2016
SAMSI
Foundations of Data Science: Mind the Gaps Thumbnail

Foundations of Data Science: Mind the Gaps

Presenter
  • Vasant Honavar
September 14, 2016
IMA

Three principles of data science: predictability, stability, and computability

Presenter
  • Bin Yu
September 14, 2016
IMA
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I

September 7, 2016
SAMSI
Can Machines See the Invisible? Thumbnail

Can Machines See the Invisible?

Presenter
  • Miriam Redi
March 21, 2016
IPAM
Culture Analytics and the Humanities: Literary and Cultural Data Thumbnail

Culture Analytics and the Humanities: Literary and Cultural Data

Presenter
  • Timothy Tangherlini
March 10, 2016
IPAM