2018 Summer School | Travel & Visa | Lodging | Registration | Program

Summer School in Statistics for Astronomers XIV (May 29 - June 2, 2018) Summer School in Astroinformatics (June 4 - 8, 2018) Campus map         Venue: Room 201 Thomas Building         Restaurants Week 1 Pictures,   Week 2 Pictures

May 29, 2018 (Tuesday)   8:30 a.m. -   8:50 a.m.    Registration   8:50 a.m. -   9:00 a.m.    Welcome address   9:00 a.m. -   9:40 a.m.    Astrostatistics: Past, Present & Future (Eric Feigelson)     9:40 a.m. - 11:00 a.m.    Probability I (David Hunter) Break 11:20 a.m. - 12:45 p.m.    Probability II (David Hunter) Afternoon Session   2:00 p.m. -   3:30 p.m.    Inference I (Bing Li)   Break   3:45 p.m. -   5:30 p.m.    Introduction to R   [R code] (Eric Feigelson)   LAB Data sets: COMBO17_lowz.dat,   Shapley_galaxy.dat,   SDSS_QSO.dat, SDSS_stars.csv,   SDSS_test.csv,   SDSS_wd.csv May 30, 2018 (Wednesday)   9:00 a.m. - 10:30 a.m.    Inference II (Bing Li) Break 10:45 a.m. - 12:30 p.m.    Model Fitting, Bootstrap & Model Selection (G. Jogesh Babu)        Afternoon Session   2:00 p.m. -   3:45p.m.    Introduction to Regression (Chad Schafer) Break   4:00 p.m. -   5:30 p.m.    R session for Astronomy II   [R code] (Eric Feigelson)   LAB   6:30 p.m. -  8:30 p.m.    Reception and Dinner at The Nittany Lion Inn    May 31, 2018 (Thursday)   9:00 a.m. - 11:00 a.m.    Multivariate Analysis, Clustering & Classification (Chad Schafer) Break 11:15 a.m. - 12:45 p.m.    Spatial Models: A Quick Overview (Murali Haran)  Afternoon session   2:00 p.m. -   3:30 p.m.    Introduction to Bayesian Analysis I (Thomas Loredo)         Resources, Supplementary Material Break   3:45 p.m. -   5:45 p.m.    R session for Astronomy III   [R code] (Eric Feigelson)   LAB June 1, 2018 (Friday)   9:00 a.m. - 10:30 a.m.    Introduction to Bayesian Analysis II (Thomas Loredo) Break 10:45 a.m. - 12:30 p.m.    Markov Chain Monte Carlo (MCMC)    (David Hunter) Afternoon session   2:00 p.m. -   3:45 p.m.    R session for Astronomy IV   [R code] (Eric Feigelson)   LAB   EFIGI.csv   4:30 p.m. -   7:00 p.m.   Picnic at Sunset Park, 850 McKee St., State College June 2, 2018 (Saturday)   9:00 a.m. - 10:30 a.m.    Time Series Analysis (Eric Feigelson)   Break 10:45 a.m. - 12:30 p.m.    Convergence Diagnostics for MCMC (Eric Ford) BOOKLET OF LECTURE NOTES FOR SUMMER SCHOOL XIV INSTRUCTORS: G. Jogesh Babu, Murali Haran, David Hunter, and Bing Li (Statisticians, Penn State); Eric Feigelson, Eric Ford (Astronomers, Penn State); Chad Schafer (Statistician, Carnegie Mellon University); Thomas Loredo (Astronomer, Cornell University; Mauricio F. Nascimento (Graduate Student, Penn State). End of the 14th Summer School in Statistics for Astronomers

Summer School in Astroinformatics (June 4 - 8, 2018) Software & Computer Account Setup June 4, 2018 (Monday)   8:30 a.m. -   8:45 a.m.    Registration   8:45 a.m. -   9:00 a.m.    Welcome address (Ping Li, Associate Director, Institute of CyberScience)   9:00 a.m. -   9:15 a.m.    Overview (Eric Ford)   9:15 a.m. - 10:15 a.m.    Fundamentals of Scientific Computing I (Adam Lavely, Chuck Pavloski, Justin Petucci)   Break 10:45 a.m. - 12:15 p.m.    Fundamentals of Scientific Computing II (Adam Lavely, Chuck Pavloski, Justin Petucci) Afternoon Session   2:00 p.m. -   3:30 p.m.    High-Performance Computing I (Adam Lavely, Chuck Pavloski, Justin Petucci)   Open MP example Break   4:00 p.m. -   5:30 p.m.    High-Performance Computing II (Adam Lavely, Chuck Pavloski, Justin Petucci)   June 5, 2018 (Tuesday)   9:00 a.m. - 10:30 a.m.    Data Mining I: Introduction to Databases and SQL (Tamás Budavári) Break 11:00 a.m. - 12:30 p.m.    Data Mining II: Transactions and Data Management (Tamás Budavári) Afternoon Session   2:00 p.m. -   3:30 p.m.    Machine Learning I (Vasant Honavar)   Break   4:00 p.m. -   5:30 p.m.    Machine Learning II (Vasant Honavar)     6:30 p.m. -  8:30 p.m.    Reception and Dinner at The Nittany Lion Inn Comments by Dr. Nicholas Jones, Executive Vice President and Provost The Pennsylvania State University    June 6, 2018 (Wednesday)   9:00 a.m. - 10:30 a.m.    Machine Learning III: PCA, Classification, Random Forest, SVM (Jia Li) Break 11:00 a.m. - 12:30 p.m.    Machine Learning IV: Dimension reduction (Le Bao)        Afternoon Session   2:00 p.m. -   3:30 p.m.    Bayesian Computing I (Murali Haran) Break   4:00 p.m. -   5:30 p.m.    Bayesian Computing II (Murali Haran)   June 7, 2018 (Thursday)   9:00 a.m. - 10:30 a.m.    Hierarchical Bayesian Modeling and STAN (Angie Wolfgang) Data set data_RVmass_genobs.txt,   Lab w2Exoplanet_mass_dist.ipynb Break 11:00 a.m. - 12:30 p.m.    Approximate Bayesian Computation (Jessi Cisewski-Kehe) Data set Red_spirals.csv,   Lab abc_lab_2018.ipynb Afternoon session   2:00 p.m. -   3:30 p.m.    Optimizing models over Big Data (Ethan Fang) Break   4:00 p.m. -   5:30 p.m.    Gaussian Process Regression (Murali Haran) June 8, 2018 (Friday)   9:00 a.m. - 10:30 a.m.    Neural Networks & Deep Learning I   [pdf]   (Lee Giles)   Break 11:00 a.m. - 12:30 p.m.    Neural Networks & Deep Learning II (Lingzhou Xue) Deep Learning Links: http://sites.psu.edu/sldm/deeplearning/ Playground Tensorflow Notebooks: Demo1_tensorflow_LinearReg,   Demo2_tensorflow_2LayerNN,   Demo3_TensorFlow_MNIST,   Demo4_tensorflow_MNIST_Tutorial   (Amal Agarwal) 12:30 p.m. -   1:00 p.m.    Program Evaluations End of the School BOOKLET OF LECTURE NOTES FOR ASTROINFORMATICS SCHOOL INSTRUCTORS: Le Bao, Eathan Fang, Jia Li, Lingzhou Xue, and Murali Haran (Statisticians, Penn State); Eric Ford, and Angie Wolfgang (Astronomers, Penn State); Lee Giles, and Vasant Honavar (Information Sciences and Technology, Penn State); Adam Lavely, Chuck Pavloski, and Justin Petucci (Institute for CyberScience, Penn State) Tamás Budavári (Johns Hopkins University); Jessi Cisewski-Kehe (Statistician, Yale University); Gabriel Caceres, Mariah MacDonald, and Shifu Zhu (Graduate Students, Penn State).