Journal of Multivariate Analysis, 130, 2014. Subsampling Extremes: From Block Maxima to Smooth Tail Estimation. A Geometric Approach to Density Estimation with Additive Noise. Quantifying and Exploiting the Age Dependence in the Effect of Supplementary Food for Child Undernutrition. Journal of Operations Management, 32(6), 2014. Norman Schürhoff, Christophe Tasserit, and Stefan Wager. Journal of Operations Management, 32(6), 2014.ĭe Treville, Suzanne, Isik Bicer, Valérie Chavez-Demoulin, Verena Hagspiel, Proceedings of the National Academy of Sciences, 113(45), 2016.ĭe Treville, Suzanne, Jeffrey Petty, and Stefan Wager.Įconomies of Extremes: Lessons from Venture-Capital Decision Making. High-Dimensional Regression Adjustments in Randomized Experiments. Wager, Stefan, Wenfei Du, Jonathan Taylor, and Robert Tibshirani. Conference on Learning Theory, 2016.Ĭomments on: A random forest guided tour. Memory, Communication, and Statistical Queries. Steinhardt, Jacob, Gregory Valiant, and Stefan Wager. Journal of Computational and Graphical Statistics, 25(1), 2016. Josse, Julie, Stefan Wager, and François Husson.Ĭonfidence Areas for Fixed-Effects PCA. Journal of Machine Learning Research, 17(124), 2016. Journal of the Royal Statistical Society: Series B, 78(2), 2016.īootstrap-Based Regularization for Low-Rank Matrix Estimation. Sequential Selection Procedures and False Discovery Rate Control. Grazier G'Sell, Max, Stefan Wager, Alexandra Chouldechova, and Robert Tibshirani. Journal of the American Statistical Association, 113(523), 2018. Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018.Įstimation and Inference of Heterogeneous Treatment Effects using Random Forests. Pryzant, Reid, Kelly Shen, Dan Jurafsky, and Stefan Wager.ĭeconfounded lexicon induction for interpretable social science. Shape-Constrained Partial Identification of a Population Mean under Unknown Probabilities of Sample Selection. Miratrix, Luke, Stefan Wager, José Zubizarreta High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification. Journal of the Royal Statistical Society: Series B, 80(4), 2018. Statistical Science, 35(3), 2020.Īthey, Susan, Guido Imbens, and Stefan Wager.Īpproximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions. Invariance and Causal Inference: Comment on a Paper by Bühlmann. Journal of the American Statistical Association, 115(529), 2020. Bayesian Analysis, 15(3), 2020.Ĭross-Validation, Risk Estimation, and Model Selection: Comment on a Paper by Rosset and Tibshirani. Journal of Open Source Software, 5(50), 2020.Ĭomment on "Bayesian Regression Tree Models for Causal Inference" by Hahn, Murray and Carvalho. Policytree: Policy learning via doubly robust empirical welfare maximization over trees. Sverdrup, Erik, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, and Stefan Wager. Annals of Applied Statistics, 14(3), 2020. Mayer, Imke, Erik Sverdrup, Tobias Gauss, Jean-Denis Moyer, Stefan Wager, and Julie Josse.ĭoubly robust treatment effect estimation with missing attributes. Journal of Business & Economic Statistics, 28, 2020. Management Science, 67(11), 2021.ĭebiased Inference of Average Partial Effects in Single-Index Models: Comment on Wooldridge and Zhu. Journal of the American Statistical Association, 116(533), 2021.Įxperimenting in Equilibrium. Nie, Xinkun, Emma Brunskill, and Stefan Wager. Quasi-Oracle Estimation of Heterogeneous Treatment Effects. Proceedings of the National Academy of Sciences, 118(15), 2021.Īugmented Minimax Linear Estimation. Hadad, Vitor, David Hirshberg, Ruohan Zhan, Stefan Wager, and Susan Athey.Ĭonfidence Intervals for Policy Evaluation in Adaptive Experiments. Journal of Computational and Graphical Statistics, 30(2), 2021. Econometrica, 89(1), 2021.įriedberg, Rina, Julie Tibshirani, Susan Athey, and Stefan Wager. Yadlowsky, Steve, Scott Fleming, Nigam Shah, Emma Brunskill and Stefan Wager.Įvaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects.Īrkhangelsky, Dmitry, Susan Athey, David Hirshberg, Guido Imbens, and Stefan Wager. Treatment Allocation under Uncertain Costs.Īdaptive Concentration of Regression Trees, with Application to Random Forests.ĭiffusion Asymptotics for Sequential Experiments. Sun, Hao, Evan Munro, Georgy Kalashnov, Shuyang Du, and Stefan Wager. Sahoo, Roshni, Lihua Lei, and Stefan Wager. Network Interference in Micro-Randomized Trials. Switchback Experiments under Geometric Mixing. Off-Policy Evaluation in Partially Observed Markov Decision Processes. Noise-Induced Randomization in Regression Discontinuity Designs. Sparsity Double Robust Inference of Average Treatment Effects.Įckles, Dean, Nikolaos Ignatiadis, Stefan Wager, and Han Wu. Bradic, Jelena, Stefan Wager, and Yinchu Zhu.
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And the Model 10, painted all white with snappy brass trim, was Buick’s most popular model. (He couldn’t convince rival Henry Ford, the other visionary of the burgeoning industry.) Buick, the first company Durant acquired, became GM’s core brand. When General Motors incorporated in the fall of 1908, its CEO, William “Billy” Durant, went on a buying spree, building his empire by gobbling up the lion’s share of the competition within the first year. BUICK MODEL 10Ī moderately popular early bid to build a car for the massesĪ Buick Model 10 at the Long Island Automotive Museum in New York State, circa 1950s. It remained in production through 1904 and inspired the hit song “In My Merry Oldsmobile:”Īutomo-bubbling, you and I. Its rugged 7-horsepower single-cylinder engine, simple 2-speed planetary transmission, chain drive and high ground clearance were strong enough to survive the rigors of the nation’s largely rugged, rutted dirt tracks. Its tiller steering and buggy-like body were familiar to the horse-trained public. Priced at just $650, the Curved Dash was accessible to a wide range of prospective customers. The only survivor: the Model R, popularly known as the Curved Dash for its curved, buggy-like footboard.īy the end of the year, Olds had built some 425 of them. Ransom Eli Olds, who had started experimenting with self-propelled vehicles in 1887, was working on several different prototypes in his company’s Detroit factory in 1901 when a fire destroyed the building and three of those prototypes. The first practical, reliable, mass-produced American automobile This subjective list reflects a varied cross-section of a century's worth of American automobile development. Many were testosterone-fueled under the hood, while others had to go up the hills backward. The cars here range from plain and utilitarian to sporty and fun to fantastically opulent. We see brand wizards tapping deep into the national psyche, evoking core American values of freedom, self-reliance and practicality. In this rundown of influential American cars, we see visionary engineers scheming ways to go faster and farther, in greater comfort and style. Failures (and there were many) often informed later successes. But each time, the entrepreneurs, marketers, designers, engineers and managers who guided American automobile production learned something. Other times they slid slowly to an ignominious grease puddle on the floor. Sometimes ideas thrown at the wall stuck. That’s why our “Cars That Made America” list draws from all those categories-and from the duds as well.īecause in the brutally competitive auto industry, the Edsels and Vegas can be as important as the Model Ts and Mustangs. Or the reliable, practical vehicles that move steadily off the lot. American automotive history isn’t just about impressively brawny engines. In China, a region where fossils of large prehistoric animals are common, these remains are frequently identified as "dragon bones" and are commonly used in traditional Chinese medicine. She argues that the dragon lore of northern India may have been inspired by "observations of oversized, extraordinary bones in the fossilbeds of the Siwalik Hills below the Himalayas" and that ancient Greek artistic depictions of the Monster of Troy may have been influenced by fossils of Samotherium, an extinct species of giraffe whose fossils are common in the Mediterranean region. In her book The First Fossil Hunters: Dinosaurs, Mammoths, and Myth in Greek and Roman Times (2000), Adrienne Mayor argues that some stories of dragons may have been inspired by ancient discoveries of fossils belonging to dinosaurs and other prehistoric animals. Dragons are usually said to reside in "dank caves, deep pools, wild mountain reaches, sea bottoms, haunted forests", all places which would have been fraught with danger for early human ancestors. Jones therefore concludes that dragons appear in nearly all cultures because humans have an innate fear of snakes and other animals that were major predators of humans' primate ancestors. The earliest attested dragons all resemble snakes or have snakelike attributes. He cites a study which found that approximately 39 people in a hundred are afraid of snakes and notes that fear of snakes is especially prominent in children, even in areas where snakes are rare. Jones (anthropologist) suggests a hypothesis that humans, like monkeys, have inherited instinctive reactions to snakes, large cats, and birds of prey. In his book An Instinct for Dragons (2000), David E. Nonetheless, scholars dispute where the idea of a dragon originates from and a wide variety of hypotheses have been proposed. Famous prototypical draconic creatures include the mušḫuššu of ancient Mesopotamia Apep in Egyptian mythology Vṛtra in the Rigveda the Leviathan in the Hebrew Bible Grand'Goule in the Poitou region in France Python, Ladon, Wyvern, and Kulshedra in Albanian Mythology and the Lernaean Hydra in Greek mythology Jörmungandr, Níðhöggr, and Fafnir in Norse mythology and the dragon from Beowulf. Stories about storm-gods slaying giant serpents occur throughout nearly all Near Eastern and Indo-European mythologies. Draconic creatures are first described in the mythologies of the ancient Near East and appear in ancient Mesopotamian art and literature. Several bones purported to belong to the Wawel Dragon hang outside of Wawel Cathedral, but actually belong to a Pleistocene mammal.ĭraconic creatures appear in virtually all cultures around the globe and the earliest attested reports of draconic creatures resemble giant snakes. The Greek word probably derives from an Indo-European base * derḱ- meaning "to see" the Sanskrit root दृश् ( dr̥ś-) also means "to see". This is thought to have referred to something with a "deadly glance," or unusually bright or "sharp" eyes, or because a snake's eyes appear to be always open each eye actually sees through a big transparent scale in its eyelids, which are permanently shut. The Greek word δράκων is most likely derived from the Greek verb δέρκομαι ( dérkomai) meaning "I see", the aorist form of which is ἔδρακον ( édrakon). The Greek and Latin term referred to any great serpent, not necessarily mythological. The word dragon entered the English language in the early 13th century from Old French dragon, which, in turn, comes from the Latin: draconem (nominative draco) meaning "huge serpent, dragon", from Ancient Greek δράκων, drákōn (genitive δράκοντος, drákontos) "serpent". An early appearance of the Old English word dracan in Beowulf The Committee further pointed out that the Constitution was in operation only for a short period of sixteen months and the Supreme Court had no occasion to pronounce on the validity of various State laws. F Elegance Ladies Night With DJ Sunny Zair Every Wednesday At F Cafe & Bar Flaunt Your Beautiful Outfit And Experience The Night Of Glamour. Southern Star Hotel, Lavelle Road, Central Bangalore 1,100 for 2 (approx) North Indian, Continental, Mughlai Dineout Pay. The Committee in its resolution observed that no attempt should be made to abridge or limit the Fundamental Rights. Check out the list of all best Live Performance restaurants near you in Bangalore and book through Dineout to get various offers. Munshi spoke of their deep concern against the first amendment of the Constitution. In its meeting dated 4th May, 1951, the Executive Committee of the Bar Association consisting of legal luminaries like M. 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