Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Adams, Niall"'
The fundamental functional summary statistics used for studying spatial point patterns are developed for marked homogeneous and inhomogeneous point processes on the surface of a sphere. These are extended to point processes on the surface of three di
Externí odkaz:
http://arxiv.org/abs/2410.01063
Detecting changes in data streams is a vital task in many applications. There is increasing interest in changepoint detection in the online setting, to enable real-time monitoring and support prompt responses and informed decision-making. Many approa
Externí odkaz:
http://arxiv.org/abs/2405.15576
In many real-world applications, it is common that a proportion of the data may be missing or only partially observed. We develop a novel two-sample testing method based on the Maximum Mean Discrepancy (MMD) which accounts for missing data in both sa
Externí odkaz:
http://arxiv.org/abs/2405.15531
We develop a new rank-based approach for univariate two-sample testing in the presence of missing data which makes no assumptions about the missingness mechanism. This approach is a theoretical extension of the Wilcoxon-Mann-Whitney test that control
Externí odkaz:
http://arxiv.org/abs/2403.15327
Changepoint models typically assume the data within each segment are independent and identically distributed conditional on some parameters which change across segments. This construction may be inadequate when data are subject to local correlation p
Externí odkaz:
http://arxiv.org/abs/2111.05054
It is often assumed that events cannot occur simultaneously when modelling data with point processes. This raises a problem as real-world data often contains synchronous observations due to aggregation or rounding, resulting from limitations on recor
Externí odkaz:
http://arxiv.org/abs/2108.12357
Cybercriminals are rapidly developing new malicious tools that leverage artificial intelligence (AI) to enable new classes of adaptive and stealthy attacks. New defensive methods need to be developed to counter these threats. Some cybersecurity profe
Externí odkaz:
http://arxiv.org/abs/2104.09981
There is currently a gap in theory for point patterns that lie on the surface of objects, with researchers focusing on patterns that lie in a Euclidean space, typically planar and spatial data. Methodology for planar and spatial data thus relies on E
Externí odkaz:
http://arxiv.org/abs/2002.03674
A key difficulty that arises from real event data is imprecision in the recording of event time-stamps. In many cases, retaining event times with a high precision is expensive due to the sheer volume of activity. Combined with practical limits on the
Externí odkaz:
http://arxiv.org/abs/2001.07160