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samsi clim qmc mums transition pmed undergraduate workshop machine learning climate bayesian precision medicine remote sensing operator splitting program on quasi-monte carlo and high-dimensional program on mathematical and statistical methods fo gdrr trends and advances in monte carlo sampling algori statistics causal inference modeling frequentist fiducial extremes personalized medicine deep learning imsm blockchain analytics r software clim fall 2017 course statistics for climate research ralph smith nccu richard smith modern math workshop jim berger marie davidian algorithm uncertainty quantification model uncertainty climate change cryptocurrency data assimilation uncertainty bitcoin multivariate air quality david banks finance big data dimension reduction optimization data science neural networks agent-based modeling quantitative murali haran redistriciting brian reich postdoc seminar quasi-monte carlo physicians john nardini data inverse problems healthcare bo li criminal justice system stochastic gerrymandering elvan ceyhan nonsmooth michael wehner model discrepancy spatial ernest fokoue probability uncertainty propogation patient preference calibration maggie johnson estimation mengyang gu materials ansu chatterjee eric laber mathematics bart amy braverman communication did yawen guan sea ice veronica berrocal game theory hurricanes ilse ipsen art owen sudipta dasmohapatra adversarial risk analysis emulators transportation clinical trials geophysical hazards system simulators fred hickernell professional development bayesian analysis sampling subspaces hierarchical model data fusion whitney huang extreme value analysis douglas nychka computer science sacnas artificial intelligence risk deep neural network spatial data michael kosorok surrogates jessica matthews model calibration coastal resiliency networking social networking dynamic text emily kang laura schultz power systems analysis equilibrium alexander gilbert statistical emulation data systems data analysis spatial statistics lattice dorit hammerling sequential multiple assignment randomized trials smarts bruno sanso mathematical surrogate reinforcement learning forensic science molecular dynamics heterogenity kernels erica rutter pcaa representative points hands-on problem set generative models jobs single treatment decision regimes dynamic treatment attribution epa ed george surya tokdar sea-ice health predictive models contingency table elaine spiller analysis hyunjung lee pierre l’ecuyer summer program on transportation statistics forest engineering roya amjadi entropy matthew plumlee statistical models lester mackey lidar convex functions global hiv precipitation climate modeling decomposition remote sensing data peter mucha ice sheet difference-in-difference rho savvysherpa risk assessment patient care rheumatoid arthritis high-dimensional covariates type-ii diabetes yingqi zhao michael wallace model selection light non-parametric regression high dimensions peter kritzer florian puchhammer climate extremes samsi professional development ken kunkel gulf coast brook russell volcano semiparametric raphael huser probabilistic numerical methods bayesian computation decision analysis model fall 2017 course simon mak networks bruce pitman erik van vleck amit apte zhengyuan zhu computation tumor heterogeneity bayesian inference spatial dependence computer models problems lorena bociu deterministic differential equations projective splitting boundary fluid-structure heinz bauschke zev woodstock kazufumi ito han lie christopher oates composite infimal convolutions saverio salzo tim sullivan monte carlo forward-backward splitting algorithm quasi-monte carlo simulations inverse covariance matrix compositional data aditya mishra lucas mentch gersende fort proximal-gradient algorithms learning-to-learn statististical guarantees overview khai nguyen massimiliano pontil mikael kuusela latent noise nonlinear pdes minh bui differential equation farid benmouffok lilian glaudin hilbert sums density estimation composite problems memoryless algorithms jean-christophe pesquet multistep algorithms marcelo pereyra statistical analysis mac hyman porbabilistic integrators jonathan eckstein probability spaces hamid krim yujing jiang spatial precipitation high-dimensional extremes quantification charlotte haley doppler wind speed extreme value hurricane harvey david nunez torres extreme value theory hurricane maria hurricane irma caribbean max-stable processes extreme percipitation spatial extremes fei lu model errors stochastic parametrization asim dey insurance claims jesse bell david margolis lincoln labs mit thermomechanical computational film sandia grant weller mit lincoln labs john peach reflection elizabeth mannshardt semiparametric models covariate andrew finley samsi alaska doug nychka chris jones mathematical vegetation arctic ocean temperature rainfall model error unstable subspace adway mitra food systems forward models ice dynamics jon hobbs nathan lenssen detection tunable testbed optimization methods kaitlyn hill food networks christian sampson sattelite jon cockayne conjugate gradient method eigenvalue dimensional integration multivariate decomposition oksana chkrebtii adaptive grid design discretization uncertainty human health human mortality temperature change brian blanton coastal hazards rob erhardt adaptive capacity climate data donata giglio salinity argo temperature southern ocean oxygen adam monahan air-sea fluxes stochastic parameterization environmental health sohini raha heatwaves michael stein oceanography ben timmermans parameter optimization probability models dirk nuyens point sets sequences numerical integration hermite spaces empirical datasets mike giles random fields ian h. sloan qmc opening workshop support points small-data big-data high-dimensional partial integral differential equ guannan zhang highway crashes sequential function approximation dongbin xiu variate integration g. w. wasilkowski quasi-polynomial tractability linear tensor products function values henryk wozniakowski sequential quasi-monte carlo mathieu gerber heterogeneous media wave propagation model mahadevan ganesh deterministic sampling roshan vengazhiyil higher-order convergence models huang huang ncei dirty data scott stevens jared rennie spatial data analysis applications in climate context geostats large data climate research eva paleo-climate reconstruction development climate data sets recurring patterns multilevel qmc inverse uq forward uq christoph schwab preparing cv's web pages tom witelski climate informatics analysis for climate model data detection & attribution in climate science estimating curves and surfaces public lecture storm kerry emanuel nonstationary covariance modeling pollutants adverse birth outcomes montse fuentes multivariate extremes multi-model predictions data assimilation techniques michal branicki stochastic parameterizations clouds turbulence chris bretherton cloud earth system andrew gettelman sea level charles jackson vipin kumar big data in climate: opportunities and challenges kenneth kunkel mathematical challenges software daniel crichton distributed data noel cressie statistical challenges antarctic causality analysis climate science imme ebert-uphoff extreme weather detection prabhat multivariate dynamic spatial factor model highway crash patterns human jason west bayesian probabilistic numerical methods chris oates algorithms optimal transport operations research jose blanchet sample stein's method high accuracy algorithms for interpolating and int james hyman howard chang environmental epidemiologis research alberto carrassi lagrangian model krisitie ebi applied mathematics working group clémentine prieur pde random coefficients survey frances kuo quasi-monte carlo methods error analysis lattice rules blocking methods potential applications to distributed data climate model simulations satellite data hui su computational and statistical venkat chandrasekaran george djorgovski computational process covariance matrices atmospheric inverse modeling gas fluxes vineet yadav distributed data systems anton martinsson cheng cheng theory of data systems physical forward models big spatial data matthias katzfuss distributed access and analysis nasa mike little optimization methods in remote sensing satellites jay morris large scale kriging distributed kriging rajarshi guhaniyogi welcome discussion foundations radu loan bot progressive decoupling elicitable convexity terry rockafellar heirarchical convex optimization proximal splitting operators isao yamada noah simon inertial algorithms silvia villa thresholdings robustness group-sparsity pursuit yiyuan she multi-view data irina gaynanova predictability chaos tutorial coupling nicolas fraiman earth science monte carlo techniques nonconvex aleksandr aravkin bfgs azam asl inertial methods charles dossal iterates boundedness nonconvex admm algorithm answers questions approximate bayesian computation large-scale network data antonietta mira histogram analysis adjusted mixture sampling zhiqiang tan paralell markov chain monte carlo scott schmidler jittered sampling stefan steinberger low-dimensional couplings sequential inference youssef marzouk mcmc sampling spacial extremes variable learning lawrence carin sparse polynomial high-dimensional functions hoang tran mcmc correlated data yian ma multiscale implementation infinite-swap eric vanden-eijinden sample quality deep probabilistic modeling stein variational approach qiang liu monte carlo sampling algorithms environmental exposure environmental epidemiological earth system grid federation distributed data analytics luca cinquini software architecture dan crichton multilayer modeling manlio de domenico high performance computing ncar atmospheric carbon dioxide highresolution satellite data jonathan hobbs non-guassian hierarchical priors matthew dunlop multi-fidelity information fusion monte carlo sampling paris perdikaris automated scalable bayesian inference data summarization tamara broderick infinite-dimensional geometric mcmc shiwei lan discontinuous hamiltonian monte carlo sampling discrete parameters aki nishimura snakes and ladders succeeding as a postdoc geometric regularization image applications junier oliva proxsarah algorithms stochastic composite nonconvex optimization quoc tran-dinh linear networks poh-ling loh decision tree optimal scoring system cart cynthia rudin ockhams prinicple of parsimony guassian process deep neural networks xipeng shen horsehoe regularization complex models deep models anindya bhadra estimators james-stein estimator decision theory amitabh basu gan optimal approximation generalized linear models difference-of-convex xiaoming huo relu networks statistical method johannes schmidt-hieber stacking audience models feature engineering feature extraction model fairness machine learning algorithms wayne thompson molecular properties activity prediction xinhao li hidden markov model beat-the-market trading startegy xilong chen evasion attacks region-based classification xiaoyu cao sepsis mark sendak susan xia 3d imaging geometric morphometrics 3d sub-image analysis sayan mukherjee data-driven decision making healthcare operations nilay tanik argon biomedical imaging electronic health records mimic-iii fhir objects matthew phillips de-identified coded electronic health records david page data wrangling bioactive molecules tahir ekin high-frequency financial time series health analytics nalini ravishanker dynamic financial decisions financial risks dynamic hedging dynamic asset allocation weidong tian lockhart prinicple crime scene investigation court jury juror witness alicia carriquiry resilience analytics cyber physical social systems cps daniel eisenberg variance reduction reliability assessment stochastic computer models eunshin byon antimicrobial resistance amr risk analysis jennifer clarke fraud critical societal system gordon milbourn iii fraud analytics common-cause failure jesus rios gradient boosting trees kaggle national security homeland security jun zhuang genomics medical pathology probablistic canonical correlation analysis bianca dumitrascu imaging nuemann network rebecca willett gaussian mixtures em algorithm em mapping em trajectory inverse bayesian formula missing data evans gouno network connectivity systemic risk correlation networks publicly traded bank returns interbank lending transactions george michailidis game theoretic models vicky biers deep reinforcement learning asset based modeling nick polson cheap talk joe halpern ara random initialization jared murray targeted minimum loss estimation tmle mark van der laan supply-demand stefan wager gun policy beth ann griffin differences-in-differences methods bracketing luke keele diabetes hysterectomy myomectomy laine thomas coal-fired power plants danny yuxing huang anayltics transaction aware agents chainlet matthew dixon qutrack model life-cycle management srikanth krishnamurthy hong wan academic writing alan karr special guest lecture geopolitics geoengineering mark borsuk model parameterization corwin zigler bayesian additive regression trees bayesian causal forests bcf women's healthcare jennifer starling high-dimensional inference jean barbier neuroimaging fmri eeg meg human connectome project zebrafish frederick eberhardt latent variable models sensitivity analysis dynamic treatment regime dtr adaptive contrast weighted learning acwl tree-based reiforced learning t-rl lu wang medicaid laura hatfield weak nulls observational studies colin fogarty lagged-dependent-variable angrist pischke peng ding alexander d'amourr startegic games neural mechanisms bayesian nonparametric models mri video games temporoparietal junction kelsey mcdonald adversarial machine learning deceptive mechanisms machine learning classifiers jinyuan jia malts flexible framework optimization algorithm harsh parikh 3d reconstruction macrolactonedb random forest naive bayes support vector regression k-nearest neighbors deep neural nets sean ekins interpretable image recognition heirarchical prototypes peter hase accelerometer-based classification system random forest classifier leighanne jarvis dorsolateral prefrontal cortex dorsomedial prefrontal cortex social behavior sattelite imagery chainnet cunyet gurcan akcora nino antulov-fantulin infratech cyber-physical infrastructure system tokenization iot peter adriaens fintech tokens banking digital trade coin alexander lipton libra crime human trafficking core3d urban modeling brian clipp dimensionality canonical tensor martin mohlenkamp crypto-currency money ethereum umar islambekov hacking cybersecurity phishing anita nikolich bitcoin cash sarit markovich jo nelson cytoskeleton roads intracellular transport mathematical biosciences institute veronica ciocanel symmetry graph profiles annie raymond gaussian processes statistic emulators lili wu communities classification in disease data spatiotemporal data cellular homegeneity xinyi li partisan geographic dustin mixon geographic constraints vote soledad villar network data leo torres tina eliassi-rad pablo suárez-serrato icerm henry segerman modern data science invariants reeb dynamics contact geometry parameter subspace analysis nonparametric estimation price vectors john schuler meta-analysis stan young precision oncology warren kibbe rachael disantostefano crowdsourcing jeff painter harvest herb weisberg vital sign madalina fiterau hazard assessment gustavo cordoba cv resume interviewing skills mansoor haider multiple decision treatment regimes decision treatment regimes parameter selection sir model global sensitivity analysis pierre gremaud hazard forecasting data science careers careers politics agent-based transportation simulators tori tomiczek immune systems dorothy wallace structural model error leonard smith nonparametric modeling merlise clyde bani mallick heterogenous computational science tinsley oden reduced-order models isaac newton peter challenor akil narayan parametric dependencies physics cber fda shiowjen lee oncology sirisha mushti hepatitis b yang kuang variability ebola africa ruy ribeiro ecological inference charles manski precision medi tumors radiation biology manufacturing knowledge systems surya kalidindi laura swiler atmoshperic dispersion model adaptive splines uq data fusion case study robert wolpert hazard threat approximation democrat maryland markov chain monte carlo algorithm lisa lebovici north carolina legislature nathan kutz panel imperfect mathematical models discontinuity georgios karagiannis computer model calibration bound-to-bound data collaboration b2bdc michael frenklach model-based predictions dave higdon jenný brynjarsdóttir michael demkowicz epistemic uncertainty low-fidelity models kevin carlberg jennifer bremer surge hazards taylor asher simon cotter distributions gradient-free construction brian williams david carlson eeg biomarkers virtual populations daniel luckett composite outcomes ai erica moodie decision making nick henscheid tumor populations nikolas bravo biomorph actuators micro-air vehicles pzt william welch dimensional analysis computers kilauea volcano eruption estimating input distribution storm surge fiducial inference fiducial computation gang li aaron danielson randomized reaction-diffusion model probabilistic fault tree analysis spacecraft re-entry simon wilson laboratory for analytic sciences alyson wilson natural hazards human hazards technology resilience security braodband wireless networks public safety maritime airport electric vehicles. james lambert patricia hu elizabeth slate joint longtitudinal outcomes survival outcomes subpopulation heterogeneity reward ignorant modeling los alamos national lab tropical storms winter storms us army corps of engineers usace coastal imagery hydrodynamic estimation glucose monitoring pacific northwest national lab power grid estimation models decryption key positive controls telba irony glen wright-colopy medicine christopher mccann patient vital signs hospital q-learning nonsmooth functions inference average value conditional unconditional likelihood ratios jan hannig idempotent probability flooding taylor ashley subgroup identification ilya lipkovich evidence-based practice-based jason burke richard zink antivirals hepatitis c evidence brian walsh medical device analytics mechanical ventilation rosa gini measurement error model revision uncertainty peter mccullagh iducial statistical sparsity probabilistic principal component analysis mbart multidimensional monotonicity vladimir vovk probability forecasts large-scale data marina vannucci variable selection priors stochastic simulators evan baker vadim sokolov bayesian optimization urban david bickel gonzalo garcia-donato john snyder treatment effects jingshen wang variable selection pierre barbillon discrepancy function simulator phillip dawid rui paulo subhashis ghosal credible intervals monotone regression veronika rockova multiscale analysis deformation modeling