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Media Summary: Talk at the Python in Astronomy workshop 2016. View slide presentation here: PyData NYC 2014 ... In this interactive session, I will introduce JAX ( an open source project that enables differentiable, ...

Dan Foreman Mackey Methods For - Detailed Analysis & Overview

Talk at the Python in Astronomy workshop 2016. View slide presentation here: PyData NYC 2014 ... In this interactive session, I will introduce JAX ( an open source project that enables differentiable, ... In this tutorial, I will present some of the technical and computational challenges faced when using Gaussian Process models to ... In this colloquium timeslot, I will give a lecture with a pedagogical introduction to Gaussian Process models, and their use in ... Inspired by: Generated using emcee: http://

"Data-driven discovery in the astronomical time domain" ABSTRACT: Thousands of exoplanets have been discovered over the ... Yu Feng and Grigor Aslanyan discuss optimization and Day 2: The Python in Astronomy conference at UW ... Title: Long-period transiting exoplanets and their population Speaker:

Photo Gallery

Dan Foreman-Mackey - Methods for scalable probabilistic inference - IPAM at UCLA
PyAstro16 - Dan Foreman-Mackey - Tools for probabilistic data analysis in Python
The Why and How of One Domain-Specific PyMC Extension (Dan Foreman-Mackey)
Dan Foreman-Mackey -TimeSeriesAnalysis Using Gaussian Processes in Python & the Search for Earth 2.0
LSSTC Data Science Fellowship Program - Dan Foreman Mackey
Dan Foreman Mackey: JAX Training
Dan Foreman-Mackey: Scalable Inference with Gaussian Processes #GPRV2022
LSSTC Data Science Fellowship Program - Dan Foreman-Mackey 2 (September 10, 2019)
Daniel Foreman-Mackey - Introduction to Gaussian Processes for Astronomy (October 21, 2022)
HarleMCMC Shake — emcee Style
ITC Colloquium - Dan Foreman-Mackey (CCA Simons Institute)
PyAstro day 5
View Detailed Profile
Dan Foreman-Mackey - Methods for scalable probabilistic inference - IPAM at UCLA

Dan Foreman-Mackey - Methods for scalable probabilistic inference - IPAM at UCLA

Recorded 17 November 2021.

PyAstro16 - Dan Foreman-Mackey - Tools for probabilistic data analysis in Python

PyAstro16 - Dan Foreman-Mackey - Tools for probabilistic data analysis in Python

Talk at the Python in Astronomy workshop 2016. http://python-in-astronomy.github.io/2016.

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The Why and How of One Domain-Specific PyMC Extension (Dan Foreman-Mackey)

The Why and How of One Domain-Specific PyMC Extension (Dan Foreman-Mackey)

Speaker:

Dan Foreman-Mackey -TimeSeriesAnalysis Using Gaussian Processes in Python & the Search for Earth 2.0

Dan Foreman-Mackey -TimeSeriesAnalysis Using Gaussian Processes in Python & the Search for Earth 2.0

View slide presentation here: https://speakerdeck.com/dfm/pydata-time-series-analysis-gps-and-exoplanets PyData NYC 2014 ...

LSSTC Data Science Fellowship Program - Dan Foreman Mackey

LSSTC Data Science Fellowship Program - Dan Foreman Mackey

September 10, 2019 More details: https://www.simonsfoundation.org/event/lsstc-data-science-fellowship-program/

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Dan Foreman Mackey: JAX Training

Dan Foreman Mackey: JAX Training

In this interactive session, I will introduce JAX (https://github.com/jax-ml/jax), an open source project that enables differentiable, ...

Dan Foreman-Mackey: Scalable Inference with Gaussian Processes #GPRV2022

Dan Foreman-Mackey: Scalable Inference with Gaussian Processes #GPRV2022

In this tutorial, I will present some of the technical and computational challenges faced when using Gaussian Process models to ...

LSSTC Data Science Fellowship Program - Dan Foreman-Mackey 2 (September 10, 2019)

LSSTC Data Science Fellowship Program - Dan Foreman-Mackey 2 (September 10, 2019)

More details: https://www.simonsfoundation.org/event/lsstc-data-science-fellowship-program/

Daniel Foreman-Mackey - Introduction to Gaussian Processes for Astronomy (October 21, 2022)

Daniel Foreman-Mackey - Introduction to Gaussian Processes for Astronomy (October 21, 2022)

In this colloquium timeslot, I will give a lecture with a pedagogical introduction to Gaussian Process models, and their use in ...

HarleMCMC Shake — emcee Style

HarleMCMC Shake — emcee Style

Inspired by: http://www.youtube.com/watch?v=Vv3f0QNWvWQ Generated using emcee: http://

ITC Colloquium - Dan Foreman-Mackey (CCA Simons Institute)

ITC Colloquium - Dan Foreman-Mackey (CCA Simons Institute)

"Data-driven discovery in the astronomical time domain" ABSTRACT: Thousands of exoplanets have been discovered over the ...

PyAstro day 5

PyAstro day 5

Day 5 of PyAstro16 http://python-in-astronomy.github.io/2016/

Astro Hack Week 2016: Optimization and Sampling

Astro Hack Week 2016: Optimization and Sampling

Yu Feng and Grigor Aslanyan discuss optimization and

PyAstro

PyAstro

Day 2: https://www.youtube.com/watch?v=7cZ1K3Xf6C4 The Python in Astronomy conference at UW ...

PyAstro day 3

PyAstro day 3

Day 3 for #pyastro16 http://python-in-astronomy.github.io/2016/

CITA 756: Long-period transiting exoplanets and their population

CITA 756: Long-period transiting exoplanets and their population

Title: Long-period transiting exoplanets and their population Speaker:

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