Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Waudby, P."'
We revisit the question of whether the strong law of large numbers (SLLN) holds uniformly in a rich family of distributions, culminating in a distribution-uniform generalization of the Marcinkiewicz-Zygmund SLLN. These results can be viewed as extens
Externí odkaz:
http://arxiv.org/abs/2402.00713
Are asymptotic confidence sequences and anytime $p$-values uniformly valid for a nontrivial class of distributions $\mathcal{P}$? We give a positive answer to this question by deriving distribution-uniform anytime-valid inference procedures. Historic
Externí odkaz:
http://arxiv.org/abs/2311.03343
Autor:
Dilek Guneri, Effrosyni Alexandrou, Kamel El Omari, Zuzana Dvořáková, Rupesh V. Chikhale, Daniel T. S. Pike, Christopher A. Waudby, Christopher J. Morris, Shozeb Haider, Gary N. Parkinson, Zoë A. E. Waller
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract The insulin-linked polymorphic region is a variable number of tandem repeats region of DNA in the promoter of the insulin gene that regulates transcription of insulin. This region is known to form the alternative DNA structures, i-motifs and
Externí odkaz:
https://doaj.org/article/f3133e77e6154bdd947d113634a42cc4
Autor:
Szárnyas, Gábor, Bebee, Brad, Birler, Altan, Deutsch, Alin, Fletcher, George, Gabb, Henry A., Gosnell, Denise, Green, Alastair, Guo, Zhihui, Hare, Keith W., Hidders, Jan, Iosup, Alexandru, Kiryakov, Atanas, Kovatchev, Tomas, Li, Xinsheng, Libkin, Leonid, Lin, Heng, Luo, Xiaojian, Prat-Pérez, Arnau, Püroja, David, Qi, Shipeng, van Rest, Oskar, Steer, Benjamin A., Szakállas, Dávid, Tong, Bing, Waudby, Jack, Wu, Mingxi, Yang, Bin, Yu, Wenyuan, Zhang, Chen, Zhang, Jason, Zhou, Yan, Boncz, Peter
Graph data management is instrumental for several use cases such as recommendation, root cause analysis, financial fraud detection, and enterprise knowledge representation. Efficiently supporting these use cases yields a number of unique requirements
Externí odkaz:
http://arxiv.org/abs/2307.04350
The LDBC Social Network Benchmark's Interactive workload captures an OLTP scenario operating on a correlated social network graph. It consists of complex graph queries executed concurrently with a stream of updates operation. Since its initial releas
Externí odkaz:
http://arxiv.org/abs/2307.04820
Autor:
Maharaj, Akash V., Sinha, Ritwik, Arbour, David, Waudby-Smith, Ian, Liu, Simon Z., Sinha, Moumita, Addanki, Raghavendra, Ramdas, Aaditya, Garg, Manas, Swaminathan, Viswanathan
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion)
A/B tests are the gold standard for evaluating digital experiences on the web. However, traditional "fixed-horizon" statistical methods are often incompatible with the needs of modern industry practitioners as they do not permit continuous monitoring
Externí odkaz:
http://arxiv.org/abs/2302.10108
Contextual bandit algorithms are ubiquitous tools for active sequential experimentation in healthcare and the tech industry. They involve online learning algorithms that adaptively learn policies over time to map observed contexts $X_t$ to actions $A
Externí odkaz:
http://arxiv.org/abs/2210.10768
This work derives methods for performing nonparametric, nonasymptotic statistical inference for population means under the constraint of local differential privacy (LDP). Given bounded observations $(X_1, \dots, X_n)$ with mean $\mu^\star$ that are p
Externí odkaz:
http://arxiv.org/abs/2202.08728
Publikováno v:
International Joint Conference on Electronic Voting, 124--139 (2021)
Accurately determining the outcome of an election is a complex task with many potential sources of error, ranging from software glitches in voting machines to procedural lapses to outright fraud. Risk-limiting audits (RLA) are statistically principle
Externí odkaz:
http://arxiv.org/abs/2107.11323
Autor:
Anna C. Papageorgiou, Michaela Pospisilova, Jakub Cibulka, Raghib Ashraf, Christopher A. Waudby, Pavel Kadeřávek, Volha Maroz, Karel Kubicek, Zbynek Prokop, Lumir Krejci, Konstantinos Tripsianes
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract Biomolecular polyelectrolyte complexes can be formed between oppositely charged intrinsically disordered regions (IDRs) of proteins or between IDRs and nucleic acids. Highly charged IDRs are abundant in the nucleus, yet few have been functio
Externí odkaz:
https://doaj.org/article/1fa7527070bb42e5a31e97f0127ee73d