An Introduction To The Theory Of Point Processes
By Ulrike Goldschmidt. 2016
1,563 citations recorded by the source corpus.
Subfields: Applied Mathematics, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/15635d2811045aefff359374c5b0de5579e5da21
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Mathieu Rosenbaum
- Alan G. Hawkes
- Emmanuel Bacry
- Jean-François Muzy
- Thibault Jaisson
- Iacopo Mastromatteo
- Christa Cuchiero
- Eduardo Abi Jaber
In Geometry and Topology
- Greg McSwiggan
- Gopalan M. Nair
- Adrian Baddeley
- Eduardo Abi Jaber
- Sergio Pulido
- Alan G. Hawkes
- Thomas Opitz
- Peter F. Schulam
Citations in the corpus
- Lecture Notes: Temporal Point Processes and the Conditional Intensity Function (2018, methodology): “On the other hand, measure theory is not assumed; for a much more thorough treatment with all the measure theoretical details, see Daley and Vere-Jones (2003) and Daley and Vere-Jones (2008).”
- What-If Reasoning with Counterfactual Gaussian Processes (2017, methodology): “Counterfactual GPs build on ideas from potential outcomes [Neyman, 1990, Rubin, 1978], Gaussian processes [Rasmussen and Williams, 2006], and marked point processes [Daley and Vere-Jones, 2007].”
- TERRESTRIAL PLANET OCCURRENCE RATES FOR THE KEPLER GK DWARF SAMPLE (2015, background): “Also, the point process statistics literature (Daley & Vere-Jones 1988; Baddeley 2007) rigorously shows that the Poisson likelihood is appropriate for analyses of spatial point data.”
- HAWKES PROCESSES ON LARGE NETWORKS (2016, neutral): “Multivariate Hawkes processes have long been studied in probability theory (see for instance the comprehensive textbook of Daley-Vere-Jones [11] and the references therein, Brémaud-Massoulié [8] or the recent results of Zhu [41, 42]).”
- Determinantal Point Processes (2016, neutral): “[9], [10], [16], [16], [29], [23], [18] and [32].”
- Limit theorems for nearly unstable Hawkes processes (2013, background): “In fact, comparing point processes and conventional time series, Poisson processes are often viewed as the counterpart of iid random variables whereas Hawkes processes play the role of autoregressive processes, see [16] for more details about this analogy.”
- Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter (2013, background): “An RFS is simply a finite-set-valued random variable [30], [31].”
- A weak solution theory for stochastic Volterra equations of convolution type (2019, methodology): “Various multivariate and nonlinear generalizations have also been studied and applied; see Brémaud and Massoulié (1996); Daley and Vere-Jones (2003); Delattre et al. (2016) and the references there.”
- Hawkes processes and their applications to finance: a review (2018, background): “An influential book on point processes by Daley and Vere-Jones (1988) included quite a bit of material on Hawkes processes.”
- MIXED CAUSAL-NONCAUSAL AR PROCESSES AND THE MODELLING OF EXPLOSIVE BUBBLES (2017, background): “Substituting Yt for ζ ∗t , (4.14) holds with 14 See Daley and Vere-Jones (2007): { k ,k ≥ 1} are the points of a homogeneous PRM on (0,+∞) with rate x−α if and only if, for any ≥ 1, nonnegative integers a1, . . . ,a and b1, . . . ,b such that ai < bi ≤ ai+1 , i = 1, . . . , , and any nonnegative…”
- Efficient inference and simulation for elliptical Pareto processes (2013, methodology): “From Poisson process theory (Daley & Vere-Jones, 2007) and the peaks-overthreshold stability of `-Pareto processes, we can conclude that, given a fixed threshold u0 > 0, functions u−10 Pi with `(Pi) ≥ u0 are realizations of the corresponding `-Pareto process.”