Results 161 to 170 of about 307 (253)

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Random walks on simplicial complexes and harmonics. [PDF]

Random Struct Algorithms, 2016
Mukherjee S, Steenbergen J.
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Testing Probabilistic Models of Choice using Column Generation. [PDF]

Comput Oper Res, 2018
Smeulders B, Davis-Stober C, Regenwetter M, Spieksma FCR.   +3 more
europepmc   +1 more source

Goodness‐of‐Fit Tests for Positive Quadrant Dependence

International Statistical Review, EarlyView.
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley   +1 more source

Analyzing health outcomes measured as bounded counts. [PDF]

J Health Econ
Mullahy J.
europepmc   +1 more source

Comparison of null models for combination drug therapy reveals Hand model as biochemically most plausible. [PDF]

Sci Rep, 2019
Sinzger M, Vanhoefer J, Loos C, Hasenauer J.   +3 more
europepmc   +1 more source

A new family of models with generalized orientation in data envelopment analysis

International Transactions in Operational Research, EarlyView.
Abstract In the framework of data envelopment analysis, we review directional models and show that they are inadequate when inputs and outputs are improved simultaneously under constant returns to scale. Conversely, we introduce a new family of quadratically constrained models with generalized orientation and demonstrate that these models overcome this
Vicente J. Bolós, Rafael Benítez, Vicente Coll‐Serrano   +2 more
wiley   +1 more source

Expansion of gene clusters, circular orders, and the shortest Hamiltonian path problem. [PDF]

J Math Biol, 2018
Prohaska SJ, Berkemer SJ, Gärtner F, Gatter T, Retzlaff N, Students of the Graphs and Biological Networks Lab 2017, Höner Zu Siederdissen C, Stadler PF.   +7 more
europepmc   +1 more source