The Statistical and Applied Mathematical Sciences Institute

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