19 papers · ranked by Valyu relevance
Stefano Favaro, Matteo Sesia
The estimation of coverage probabilities, and in particular of the missing mass, is a classical statistical problem with applications in numerous scientific fields. In this paper, we study this problem in relation to randomized data compression, or sketching. This is a novel but practically relevant perspective, and it…
Benjamin Kompa, Jasper Snoek, Andrew L. Beam, Eric Nalisnick + 1 more
'Dustin Tran'] Uncertainty quantification for complex deep learning models is increasingly important as these techniques see growing use in high-stakes, real-world settings. Currently, the quality of a model’s uncertainty is evaluated using point-prediction metrics, such as the negative log-likelihood (NLL), expected…
Jianing Guo, Yunshan Sun, Ting Liu, Yanqin Li + 2 more
In existing coverage challenges within wireless sensor networks, traditional sensor perception models often fail to accurately represent the true transmission characteristics of wireless signals. In more complex application scenarios such as warehousing, residential areas, etc., this may lead to a large gap between the…
Zongliang Xu, Guicai Yu, Xiao Tang
In LoRa uplink communication, direct edge-node-to-gateway transmission is affected by path loss, thermal noise, small-scale fading, and intra-spreading-factor (intra-SF) and inter-spreading-factor (inter-SF) interference under random traffic activation. These factors reduce the signal-to-interference-plus-noise ratio…
Zahra Zare Jousheghani, Rob Patro
Long read sequencing technology is becoming an increasingly indispensable tool in genomic and transcriptomic analysis. In transcriptomics in particular, long reads offer the possibility of sequencing full-length isoforms, which can vastly simplify the identification of novel transcripts and transcript quantification.…
Russell Costa, Thomas A. Wettergren, Charalampos Konstantopoulos, Antonio Lázaro
'Antonio Lázaro'] A new method is derived for finding the best positions in which to locate the sensors in a distributed sensor network in order to achieve a desired variation, or pattern, in spatial coverage over a specified domain. Such patterning is important in situations when there are not enough sensors to…
Qinyu Wei, Peng Wang, Ping Yin
This article focuses on the construction of a confidence interval for vaccine efficacy against contagious coronavirus disease-2019 (COVID-19) in a fixed number of events design. Five different approaches are presented, and their performance is investigated in terms of the two-sided coverage probability, non-coverage…
Harris K. Armeniakos, Petros S. Bithas, Κωνσταντίνος Μαλιάτσος, Αthanasios G. Kanatas
RF-powered IoT Networks Authors: ['Harris K. Armeniakos' 'Petros S. Bithas' 'Κωνσταντίνος Μαλιάτσος' 'Αthanasios G. Kanatas'] This letter studies the joint energy and signal-to-interference-plus-noise (SINR)-based coverage probability in Unmanned Aerial Vehicle (UAV)-assisted radio frequency (RF)-powered Internet of…
Karin Christensen
Testing probabilistic programs is non-trivial due to their stochastic nature. Given an input, the program may produce different outcomes depending on the underlying stochastic choices in the program. This means testing the expected outcomes of probabilistic programs requires repeated test executions unlike…
Daeun Kim, Jeonghun Park, Namyoon Lee
—In this paper, we investigate the coverage performance of downlink satellite networks employing dynamic coordinated beamforming. Our approach involves modeling the spatial arrangement of satellites and users using Poisson point processes situated on concentric spheres. We derive analytical expressions for the coverage…
Alberto Florez Prada, Guido Uguzzoni, Darren J. Hart
Directed evolution requires screening of large mutagenesis libraries, but accurate calculation of library sizes needed to discover functional variants remains challenging. Existing models provide baseline estimates, yet current computational approaches for finding the best variants scale poorly with library complexity.…
Inbal Preuss, Ben Galili, Zohar Yakhini, Leon Anavy
This study introduces a novel model for analyzing and determining the required sequencing coverage in DNA-based data storage, focusing on combinatorial DNA encoding. We explore the application of the coupon collector model for combinatorial-letter reconstruction, post-sequencing, which ensure efficient data retrieval…
Mathew D. Penrose, Frankie Higgs
times Authors: ['Mathew D. Penrose' 'Frankie Higgs'] Given a compact planar region A, let τA be the (random) time it takes for A to be fully covered by a spatial birth-growth process in A with seeds arriving as a unit-intensity Poisson point process in A×[0, ∞), where upon arrival each seed grows at unit rate in all…
Kumar P. Mainali, Eric Slud
Analysis of co-occurrence data in ecology and biogeography with traditional indices has led to many problems. In our recent study (19), we revealed the source of the problem that makes the traditional indices fundamentally flawed and completely unreliable, and we further developed a novel metric of association, alpha…
Vishaal Krishnan, Sonia Martı́nez
This paper presents a theoretical framework for the design and analysis of gradient descent-based algorithms for coverage control tasks involving robot swarms. We adopt a multiscale approach to analysis and design to ensure consistency of the algorithms in the large-scale limit. First, we represent the macroscopic…
Viktor Witkovský
The Tsallis q-Gaussian distribution is a powerful generalization of the standard Gaussian distribution and is commonly used in various fields, including non-extensive statistical mechanics, financial markets and image processing. It belongs to the q-distribution family, which is characterized by a non-additive entropy.…
Matthew J. Simpson, Oliver J. Maclaren
Interpreting data using mechanistic mathematical models provides a foundation for discovery and decision-making in all areas of science and engineering. Developing mechanistic insight by combining mathematical models and experimental data is especially critical in mathematical biology as new data and new types of data…
Authors not listed
This work focuses on the impact of lateral interactions on the thermophysical properties of adsorbates. We present different parameterizations for coverage-dependent enthalpy, entropy, and heat capacity in a mean-field microkinetic model. These models are tested against two systems, CO/Pt(111) and CO/Co(0001), using…
Authors not listed
Traditional electron-configuration notation (e.g. 1s^2 2s^2 2p^6) compresses multi-electron quantum information into integer occupancies that convey allowed maxima and most-probable arrangements but obscure the underlying probabilistic distribution and the spread of possible measurement outcomes. We present a…