Pages that link to "Item:Q1630387"
From MaRDI portal
The following pages link to A review of self-exciting spatio-temporal point processes and their applications (Q1630387):
Displaying 40 items.
- Spectral estimation of Hawkes processes from count data (Q128141) (← links)
- Latent self-exciting point process model for spatial-temporal networks (Q478267) (← links)
- Space-time inhomogeneous background intensity estimators for semi-parametric space-time self-exciting point process models (Q778876) (← links)
- Fast estimation of multivariate spatiotemporal Hawkes processes and network reconstruction (Q825058) (← links)
- Comment on ``A review of self-exciting spatiotemporal point process and their applications'' by Alex Reinhart (Q1630388) (← links)
- Comment on ``A review of self-exciting spatio-temporal point process and their applications'' by Alex Reinhart (Q1630390) (← links)
- Comment on ``A review of self-exciting spatio-temporal point processes and their applications'' by Alex Reinhart (Q1630391) (← links)
- Self-exciting point processes: infections and implementations (Q1630392) (← links)
- Rejoinder on: ``A review of self-exciting spatio-temporal point processes and their applications'' (Q1630393) (← links)
- Modeling and estimation for self-exciting spatio-temporal models of terrorist activity (Q1647648) (← links)
- Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data (Q2029080) (← links)
- Context-aware spatio-temporal event prediction via convolutional Hawkes processes (Q2102352) (← links)
- Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion (Q2135384) (← links)
- Spatiotemporal-textual point processes for crime linkage detection (Q2154224) (← links)
- Fractional Hawkes processes (Q2164927) (← links)
- Estimation, diagnostics, and extensions of nonparametric Hawkes processes with kernel functions (Q2195545) (← links)
- Generalized evolutionary point processes: model specifications and model comparison (Q2241636) (← links)
- Moment generating function of non-Markov self-excited claims processes (Q2665866) (← links)
- Time-consistent evaluation of credit risk with contagion (Q2667125) (← links)
- Resemblance of the power-law scaling behavior of a non-Markovian and nonlinear point processes (Q2677477) (← links)
- A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets (Q3304823) (← links)
- A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process (Q5049736) (← links)
- Modelling Burglary in Chicago using a self-exciting point process with isotropic triggering (Q5056770) (← links)
- A Metric Space for Point Process Excitations (Q5076362) (← links)
- (Q5093432) (← links)
- Self-Exciting Point Process Modeling of Crime (Q5256403) (← links)
- Online score statistics for detecting clustered change in network point processes (Q5883824) (← links)
- Hawkes Processes Modeling, Inference, and Control: An Overview (Q6046286) (← links)
- Parametric estimation of spatial-temporal point processes using the Stoyan-Grabarnik statistic (Q6058523) (← links)
- Semiparametric Goodness-of-Fit Test for Clustered Point Processes with a Shape-Constrained Pair Correlation Function (Q6077593) (← links)
- Estimating Covid-19 transmission time using Hawkes point processes (Q6138645) (← links)
- Comparative evaluation of point process forecasts (Q6138752) (← links)
- Bootstrap inference for Hawkes and general point processes (Q6163273) (← links)
- Graph-based mutually exciting point processes for modelling event times in docked bike-sharing systems (Q6548942) (← links)
- Multivariate Hawkes processes with spatial covariates for spatiotemporal event data analysis (Q6580096) (← links)
- A self-exciting marked point process model for drought analysis (Q6617831) (← links)
- Generalized functional linear model with a point process predictor (Q6618446) (← links)
- Sequential Change-Point Detection for Mutually Exciting Point Processes (Q6631110) (← links)
- SB-ETAS: using simulation based inference for scalable, likelihood-free inference for the ETAS model of earthquake occurrences (Q6643206) (← links)
- Point process modeling through a mixture of homogeneous and self-exciting processes (Q6668594) (← links)
