Sai License For Todd Hawkes Download
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For those who have been eagerly awaiting SAI2 (like me!), it's been released in a beta version with a lot of improvements, outline below which I've just copy and pasted from here (where you can also download the program from).
Please consider paying for the license, as the development team is literally one person, who has in the past, stopped developing on SAI because no one bought his software.
Canvas:
Maximum canvas size up to 100000x100000px(64bit version) or 10000x10000px(32bit version).
Save and load canvas as a private format (The file extension is '.sai2') (*).
Save and load canvas as a bitmap (.bmp) (*).
* These functions are locked by software user license. If you have a license of SAI Ver.1, you can remove the lock with your license certificate. Please download NEW license certificate WITH SYSTEM ID OF SAI VER.2, and put it into which of the following folder.
A. My Documents -> SYSTEMAX Software Development -> SAI2 Demo (The folder that is included 'settings.ssd')
B. The folder that is included execution file of SAI2(sai.exe).
Layer:
Maximum number of layers up to 8190.
Supported layer types are Normal, Folder, Linework, Shape and Text.
Supported layer properties are Blending mode, Opacity, Protections, Clipping group, Moving group, Painting effect, Paper texture, Visibility, and Layer name.
Multiple selection and operation for layer item.
Delete, Erase, Fill, Merge.
Selection:
Invert, Deselect
Cut and move pixels as floating
Ruler:
Straight
Ellipse
View:
Alternative view.
Alternative floating view.
Pan, Zoom, Rotation, Horizontal flip and Reset.
Brush tools:
Pencil, Air brush, Brush, Water color
Selection pen, Selection eraser
Linework tools:
Pen, Curve, Line, Eraser
Edit path, Edit pressure, Change color, Change weight
Perspective ruler:
Create perspective rulers as layer objects
Supported 1 to 3 vanishing points
About Features Request:
I will read all emails of features request but I will not be able to reply to all request emails because I am one man team for development and customer support. Thank you for your understanding.
Sai License For Todd Hawkes Download 2017
Koji Komatsu - Programmer, President
hawkes
An R package for estimating multivariate Hawkes processes. For an example of usage, see http://htmlpreview.github.io/?https://github.com/peterhalpin/hawkes/blob/master/hawkes_eg.html
The package is under development. It currently has limited functionality, incomplete documentation, and does not check for many types of arg formatting errors. So, user beware. Please follow the GNU license for using this code and cite the following article if you use it.
Halpin, P. F., & De Boeck, P. (2013). Modelling Dyadic Interaction with Hawkes Processes. Psychometrika, 78(4), 793–814. http://doi.org/10.1007/s11336-013-9329-1
To Do list
- standard errors
- data simulation
- response kernels other than
dgamma - linear parameter constraints
- clean up
Related literature
Brillinger, D. R., Guttorp, P. M., & Schoenberg, F. P. (2002). Point processes, temporal. In A. H. El-Shaarawi & W. W. Piegorsch (Eds.), Encylcopeida of Environmetrics (Vol. 3, pp. 1577–1581). Chichester, England: John Wiley & Sons.
Fox, E. W. (2015). Estimation and Inference for Self-Exciting Point Processes with Applications to Social Networks and Earthquake Seismology [dissertation]. University of Los Angeles.
Halpin, P. F. (2013). A scalable EM algorithm for Hawkes processes. In R. E. Millsap, L. A. van der Ark, D. M. Bolt, & C. M. Woods (Eds.), New Developments in Quantitative Psychology: Proceedings of the 77th International Meeting of the Psychometric Society (pp. 403–414). New York: Springer.
Halpin, P. F., von Davier, A. A., Hao, J., & Liu, L. (2017). Measuring Student Engagement During Collaboration. Journal of Educational Measurement, 54(1), 70–84. http://doi.org/10.1111/jedm.12133
Halpin, P. F., & von Davier, A. A. (2017). Modelling Collaboration Using Point Processes. In A. A. von Davier, P. C. Kyllonen, & M. Zhu (Eds.), Innovative Assessment of Collaboration (pp. 233–247). New York, NY: Springer.
Hawkes, A. G. (1971). Spectra of some self-exciting and mutually exciting point processes. Biometrika, 58(1), 83–90. http://doi.org/10.1093/biomet/58.1.83
Hawkes, A. G. (1971). Point spectra of some mutually exciting point processes. Journal of the Royal Statistical Society, Series B, 33(3), 438–443. http://doi.org/10.1073/pnas.0703993104
Hawkes, A. G., & Oakes, D. (1974). A cluster process representation of a self-exciting process. Journal of Applied Probability, 11(3), 493–503.
Liniger, T. (2009). Multivariate Hawkes Processes [dissertation]. Swiss Federal Institute of Technology.
Sai License For Todd Hawkes Download Full
Lapham, B. M. (2014). Hawkes processes and some financial applications [thesis]. University of Cape Town.
Lewis, E., & Mohler, G. (2011). A Nonparametric EM algorithm for Multiscale Hawkes Processes. Journal of Nonparametric Statistics, (1), 1–20.
Rasmussen, J. G. (2013). Bayesian Inference for Hawkes Processes. Methodology and Computing in Applied Probability, 15(3), 623–642. http://doi.org/10.1007/s11009-011-9272-5
Veen, A., & Schoenberg, F. P. (2008). Estimation of Space-Time Branching Process Models in Seismology Using an EM-Type Algorithm. Journal of the American Statistical Association, 103(482), 614–624. http://doi.org/10.1198/016214508000000148