Frederic Paik Schoenberg (Rick)

Publications, by topic (for a chronological list click here)

A) Point processes (and related objects like tessellations).

A1. Schoenberg, F. (1997). Assessment of Multi-dimensional Point Processes. Ph.D. Thesis, University of California, Berkeley, 1997.

A2. Schoenberg, F. (1999). Transforming spatial point processes into Poisson processes. Stochastic Processes and their Applications, 81(2), 155--164.

A3. Schoenberg, F.P. (2002). Tessellations. in Encyclopedia of Environmetrics, Abdel El-Shaarawi and Walter Piegorsch, editors. Wiley, NY, vol. 3, pp 2176-2179.

A4. Brillinger, D.R., Guttorp, P.M., and Schoenberg, F.P. (2002). Point processes, temporal. in Encyclopedia of Environmetrics, Abdel El-Shaarawi and Walter Piegorsch, editors. Wiley, NY, vol. 3, pp 1577-1581.

A5. Guttorp, P.M., Brillinger, D.R., and Schoenberg, F.P. (2002). Point processes, spatial. in Encyclopedia of Environmetrics, Abdel El-Shaarawi and Walter Piegorsch, editors. Wiley, NY, vol. 3, pp 1571--1573.

A6. Schoenberg, F.P., Brillinger, D.R., and Guttorp, P.M. (2002). Point processes, spatial-temporal. in Encyclopedia of Environmetrics, Abdel El-Shaarawi and Walter Piegorsch, editors. Wiley, NY, vol. 3, pp 1573--1577.

A7. Schoenberg, F.P. (2002). On rescaled Poisson processes and the Brownian bridge. Ann. Int. Stat. Math. , 54(2), 445--457.

A8. Schoenberg, F.P., Ferguson, T., and Li, C. (2003). Inverting Dirichlet tessellations. Computer Journal 46(1), 76--83.
(For C code click here) .

A9. Schoenberg, F.P. (2003). Re-randomized intensity estimates for transformed Poisson processes. UCLA Statistics Preprints, no. 244, p. 1--9.

A10. Schoenberg, F.P. (2004). Consistent parametric estimation of the intensity of a spatial-temporal point process. JSPI 128(1), 79--93.

A11. Vere-Jones, D., and Schoenberg, F.P. (2004). Rescaling marked point processes. Australian & New Zealand Journal of Statistics 46(1), 133-143.

A12. Schoenberg, F.P. (2004). Testing separability in multi-dimensional point processes. Biometrics 60, 471-481.

A13. Schoenberg, F.P. On non-simple marked point processes. Ann. Inst. Stat. Math. (to appear).

A14. Schoenberg, F.P., and Vere-Jones, D. Rescaling point processes: a review. (in progress).

A15. Schoenberg, F.P. Thinning and Superposing marked point processes. (in progress).

A16. Schoenberg, F. P. (2005). Review of Statistical Inference and Simulation for Spatial Point Processes by Jesper Moller and R.P. Waagepetersen. JASA 100 (469), 349--350.

A17. Tranbarger, K.E. and Schoenberg, F.P. On the computation and application of point process prototypes.

A18. Schoenberg, F.P. A note on the separability of multidimensional point processes with covariates. (in review)

A19. Pompa, J.L., Schoenberg, F.P., and Chang, C. A note on non-parametric and semi-parametric modeling of wildfire hazard in Los Angeles County, California. (in review)

A20. Schoenberg, F.P. (2006). Comment on 'A note on testing separability in spatial-temporal marked point processes,' by Renato Assuncao and Alexandra Maia. Biometrics , to appear.

B) Applications in Seismology.

B1. Schoenberg, F., and Bolt, B. (2000). Short-term exciting, long-term correcting models for earthquake catalogs . Bulletin of the Seismological Society of America, 90(4), 849--858.

B2. Kagan, Y., and Schoenberg, F. (2001). Estimation of the upper cutoff parameter for the tapered Pareto distribution. J. Appl. Prob. 38A, Supplement: Festscrift for David Vere-Jones, D. Daley, editor, 158--175.

B3. Schoenberg, F.P. (2003). Multi-dimensional residual analysis of point process models for earthquake occurrences. JASA 98(464), 789--795.

B4. Brillinger, D.R., Robinson, E.A., and Schoenberg, F.P., editors (2004). Time Series Analysis and Applications to Geophysical Systems. IMA Volumes in Mathematics and its Applications, Springer, New York.

B5. Zaliapin, I., Kagan, Y., and Schoenberg, F. (2005). Approximating the distribution of Pareto sums. Pure and Applied Geophysics 162(6-7), 1187-1228.

B6. Schoenberg, F.P. and Tranbarger, K.E. Description of earthquake aftershock sequences using prototype point processes. (in review).

B7. Veen, A. and Schoenberg, F.P. (2005). Assessing spatial point process models for California earthquakes using weighted K-functions: analysis of California earthquakes. in Case Studies in Spatial Point Process Models, Baddeley, A., Gregori, P., Mateu, J., Stoica, R., and Stoyan, D. (eds.), Springer, NY.

B8. Veen, A. and Schoenberg, F.P. Estimation of space-time branching process models in seismology using an EM-type algorithm. (in review)

C) Applications to Wildfires.

C1. Schoenberg, F. (2001). Evidence for threshold-type relationships between fire incidence and ecological factors. Proc. Forest Fires 2001: Operational Mechanisms, Firefighting Means and New Technologies, Athens, Greece, March 13-16, pp 158--162.

C2. Schoenberg, F.P., Peng, R., and Woods, J. (2003). On the distribution of wildfire sizes. Environmetrics 14(6), 583--592.

C3. Schoenberg, F.P., Peng, R., Huang, Z., and Rundel, P. (2003). Detection of nonlinearities in the dependence of burn area on fuel age and climatic variables . Int. J. Wildland Fire , 12(1), 1--10.

C4. Peng, R. D., Schoenberg, F. P., Woods, J. (2005). A space-time conditional intensity model for evaluating a wildfire hazard index. JASA 100 (469), 26--35.

C5. Peng, R., and Schoenberg, F.P. Estimating fire interval distributions using coverage process data. . Environmetrics (in review).

C6. Schoenberg, F.P. and Johnson, E.A. Classification and description of wildfire patterns using prototype point processes. (in progress.)

C7. Schoenberg, F.P., Chang, C., Pompa, J., Woods, J., and Xu, H. A Critical Assessment of the Burning Index in Los Angeles County, California. (in review)

D) Model evaluation (for non-point-process models).

D1. Petty, K., Bickel, P., Jiang, J., Ostland, M., Rice, J., Ritov, Y., and Schoenberg, F. (1998). Accurate estimation of travel times from single loop detectors . Transportation Research A, 1,1--17.

D2. Schoenberg, F., Berk, R., Fovell, R., Li, C., Lu, R., and Weiss, R. (2001). Approximation and inversion of a complex meteorological system via local linear filters. Journal of Applied Meteorology, 40(3), 446--458.

D3. Berk, R., Fovell, R., Schoenberg, F., and Weiss, R. (2001). The use of statistical tools for evaluating computer simulations: an editorial essay. Climate Change 51, 119-130.

D4. Berk, R., Bickel, P., Campbell, K., Fovell, R., Keller-McNulty, S., Kelly, E., Linn, R., Park, B., Perelson, A., Rouphail, N., Schoenberg, F., and Sacks, J. (2002). Workshop on statistical approaches for the evaluation of complex computer models. Statistical Science 17, 173-192.

E) Miscellaneous.

E1. Schoenberg, F. (2000). Summary of Data on Hyperemesis Gravidarum. The Birthkit, Spring, p.4,8.

E2. Schweitzer, S., Connell, J., and Schoenberg, F. (2005). Clustering in the biotechnology industry. International Journal of Healthcare Technology and Management (to appear).

E3. Schweitzer, S., Connell, J., Schoenberg, F., and Rubini, L. (2005). Clustering in the biotechnology industry. Proceedings of the 4th Global Conference on Business and Economics, St. Hugh's College, Oxford, June 26-28 2005.