See also the once-impressive hit counts.
My tennismatch applet lets you interactively play tennis against a computer opponent. Depending on your monitor and pixel size, you may prefer the large size, medium size, or small size. Also available is a (large-sized) tennis practice applet, where you can hit the ball against a wall to improve your control.
My spacetag applet (my favourite, including a cash prize!) is a space game, where you fly around in a green ship and come across planets, space stations, bad guys, etc. It is available in large size, medium size, or small size. See also the instructions.
My manymoons applet simulates a (randomly initialized) collection of N moons, circling each other under the influence of gravity. (Here is the corresponding source code.) Also available are a (periodic) two-body version and a (rather unstable) three-body version.
My gambler's ruin applet illustrates the famous gambler's ruin problem of classical probability.
My buckets applet illustrates the pouring of water into a triangular array of buckets -- sort of like Pascal's Triangle, but trickier.
My Poisson clumping applet illustrates that even if dots are placed uniformly at random, various "patterns" will seem to appear.
A second Markov chain applet is "unif". It simulates a one-dimensional Metropolis sampler Markov chain with exponential target distribution and uniform proposal distributions. Would you trust this sampler's results?
A third Markov chain applet, "slice", simulates a one-dimensional slice sampler. See how the chain's convergence properties depend on the nature of the target distribution.
A fourth Markov chain applet, "cftp", simulates a "coupling from the past" algorithm. See how to obtain an exact sample from a distribution, using only a Markov chain for which the distribution is stationary.
A fifth Markov chain applet, "rwm", shows a very simple random-walk Metropolis MCMC algorithm.
Another Markov chain applet, "adapt", illustrates the perils of naive use of adaptive MCMC algorithms.
Many thanks to Alan Rosenthal for helping me to get
started with Java programming.
Thanks to Gamelan,
Bonus.com,
TSN,
Rochester's
Jungle,
zeeks.com,
a Greek
site,
a
Mexican site,
a
Japanese site,
another Japanese
site,
The Valley,
The
Football Links,
Web Arena,
and the MCMC Preprint Service
for linking to my applets.
See also my policy regarding the use of my applets
on your web site.