計劃進修PhD/Research討論區(57) Publish or Perish

Post 31:
https://lihkg.com/thread/342963/page/1
Post 32:
https://lihkg.com/thread/364084/page/1
Post 33:
https://lihkg.com/thread/388755/page/1
Post 34:
https://lihkg.com/thread/408288/page/1
Post 35:
https://lihkg.com/thread/421633/page/1
Post 36:
https://lihkg.com/thread/438013/page/1
Post 37:
https://lihkg.com/thread/444364/page/1
Post 38:
https://lihkg.com/thread/453048/page/1
Post 39:
https://lihkg.com/thread/459737/page/1
Post 40:
https://lihkg.com/thread/467535/page/1
Post 41:
https://lihkg.com/thread/473677/page/1
Post 42:
https://lihkg.com/thread/477747/page/1
Post 43:
https://lihkg.com/thread/483008/page/1
Post 44:
https://lihkg.com/thread/488036/page/1
Post 45:
https://lihkg.com/thread/492671/page/1
Post 46:
lihkg.com/thread/497397/page/1
Post 47:
https://lihkg.com/thread/501507/page/1
Post 48:
https://lihkg.com/thread/505583/page/1
Post 49:
https://lihkg.com/thread/511416/page/1
Post 50:
https://lihkg.com/thread/518547/page/1
Post 51:
https://lihkg.com/thread/522945/page/1
Post 52:
https://lihkg.com/thread/529657/page/1
Post 53:
https://lihkg.com/thread/536441/page/1
Post 54:
https://lihkg.com/thread/543118/page/1
Post 55:
https://lihkg.com/thread/551953/page/1
Post 56:
https://lihkg.com/thread/564378/page/1


另外有興趣想留自己Research Info既巴絲, 希望可以搵到同field既巴打傾下計或者睇下有無potential collaboration, 可以係下面個google doc填自己既資料(optional)
https://docs.google.com/spreadsheets/d/1VAW9av9mt3RnUiYU7t8NhV73P7hc5mTZc1rRccket00/edit?usp=sharing

如果你想分享下報pg經驗，或者知多啲關於報pg嘅嘢，可以入去呢個word：
https://docs.google.com/document/d/1-6RuzKFOdboyqvHGpUcDhZpLz833E2m8jEi3FJfnUCI/edit

有興趣係academic 發展，做research既巴絲入黎傾下啦

數統電腦自學資源:

A. Maths:

Linear algebra:
ODE:
PDE:
Numerical analysis:
Optimisation: Boyd, S. & Vandenberghe, L. (2004). Convex Optimization. Cambridge University Press. URL https://www.stanford.edu/~boyd/cvxbook/
Elementary probability: Ross, S. M. (2014). A First Course in Probability (9th edition). Pearson.
Probability theory: Ross, S. M. (2014). Introduction to Probability Models (11th edition). Academic Press.
Stochastic calculus: Øksendal, B. (2003). Stochastic Differential Equations (6th edition). Universitext. Springer, Berlin, Heidelberg.
Measure-theoretic probability theory: Chung, K. L. (2000). A Course in Probability Theory (2nd edition). Academic Press.


B. Statistics:

Elementary statistics: Hogg, R. V., & Craig, A. T. (1995). Introduction to mathematical statistics.(5"" edition) (pp. 269-278). Upper Saddle River, New Jersey: Prentice Hall.
Linear models: Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied Linear Statistical Models (Vol. 4). Chicago: Irwin.
Bayesian inference: Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2014). Bayesian Data Analysis (Vol. 2). Boca Raton, FL: CRC press.
Generalized Linear Model: Myers, R. H.,‎ Montgomery, D. C.,‎ Vining G. G.,‎ Robinson T. J. (2010). Generalized Linear Models: with Applications in Engineering and the Sciences (2nd Edition). Wiley.
Multilevel models: Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel hierarchical models (Vol. 1). New York, NY, USA: Cambridge University Press.
Multivariate: Rencher, A. C. (2003). Methods of multivariate analysis (Vol. 492). John Wiley & Sons.
Study design:
Time series: Tsay, R. S. (2010). Analysis of Financial Time Series (3rd edition). Wiley.
Categorical data analysis: Agresti, A. (2007). An Introduction to Categorical Data Analysis (2nd Edition), Wiley Series in Probability and Statistics. Wiley.
Bootstrap: Efron, B. & Tibshirani, R. (1994). An Introduction to the Bootstrap. Chapman and Hall/CRC.
Statistical inference: Casella, G. &‎ Berger, R. L. (2001). Statistical Inference (2nd Edition). Duxbury Press.
Statistical learning: Hastie, T.,‎ Tibshirani, R. & Friedman J. (2016). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Edition), Springer Series in Statistics. Springer.


C. Computer Science:

Basic programming:
Information retrieval:
Computational phylogenetics:
Machine learning: Bishop, C. M. (2011). Pattern Recognition and Machine Learning. Springer.
Deep learning: Goodfellow, I., Bengio, Y. & Courville, A. (2016). Deep Learning. The MIT Press.

歡迎大家繼續擴充

精選papers:

Phy :
journals.aps.org/rmp/abstract/10.1103/RevModPhys.87.981
phys.sinica.edu.tw/~nano/article/e-04.pdf
Maths:
jstor.org/stable/1969529?seq=1#page_scan_tab_contents
ncbi.nlm.nih.gov/pmc/articles/PMC1063129
arxiv.org/abs/1704.07210
Econ: researchgate.net/profile/Ariel_Rubinstein2/publication/4719889_The_Electronic_Mail_Game_Strategic_Behavior_Under_Almost_Common_Knowledge/links/004635309c7e0b6a58000000.pdf
CS/EE:
statweb.stanford.edu/~candes/papers/StableRecovery.pdf
math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf
Bio:
nature.com/nbt/journal/v34/n1/full/nbt.3439.html?foxtrotcallback=true
Psychology:
journals.sagepub.com/doi/abs/10.1177/0956797611417632
cambridge.org/core/journals/behavioral-and-brain-sciences/article/weirdest-people-in-the-world/BF84F7517D56AFF7B7EB58411A554C17
nature.com/articles/s41562-017-0189-z
歡迎大家繼續擴充