This was my first trip to the USA, mostly to attend a conference in Austin, Texas. And then I took a week to go around and explore the place. I managed to visit Houston and San Antonio as well.
Iceland is a nature lover’s paradise. Same goes for a landscape photographer. The nature in Iceland is just out of this world. It’s just remarkable how diverse the topography is, for a relatively small island. It’s also a great location if you want to get away from people. You could be driving for hours without meeting a single car. In this post I want to talk about some of the experience and some of the practicalities of travelling in Iceland.
I use ImageJ for many of my image analysis needs. My desktop computer runs Windows 7 and it has pretty solid specs with Core i7 processor and 16GB RAM. I recently had to handle some large tiff stacks (4-5gb) and it simply wouldn’t work on my desktop as I constantly ran into ‘out of memory’ errors. So I decided to run them on a computing cluster instead since I have access to one. Running on a cluster might be useful when handling data with large memory requirements or to perform computations on numerous files in parallel by distributing load to multiple cores. It took me a while to figure out how to get things to work, so I thought I would make a record of it. And this might hopefully be useful to others.
In a standard statistical test, one assumes a null hypothesis, performs a statistical test and computes a p-value. The estimated p-value is compared to a predetermined threshold (usually 0.05). If the estimated p-value is greater than 0.05 (say 0.2), it means that there is a 20% chance of obtaining the current result if the null hypothesis is true. Since we decided our threshold as 5%, the 20% is too high to reject the null hypothesis and we accept the null hypothesis. Now, if the estimated p-value was less than 0.05 (say 0.02), there is a 2% probability of obtaining the observed result if the null hypothesis is true. Since 2% is a very low probability and it is below our threshold of 5%, we reject the null hypothesis and accept an alternative hypothesis.
The 5% threshold, although giving us high confidence, is an arbitrary value and does not absolutely guarantee an outcome. There is still the possibility that we are wrong 5% of the time. This is known as the probability of a Type I error. A Type I error occurs when a researcher falsely concludes that an observed difference is real, when in fact, there is no difference.
That was the story of a single statistical test. With large data, it is common for data analysts to do multiple statistical tests on the same data. Similar to a single test, each test in a multiple test has the 5% Type 1 error rate. And this accumulates for the number of tests.
I took a short vacation to Kerala, India to visit my family and to rejuvenate myself.
It was mostly visiting relatives, excessive eating and dealing with heat, humidity and traffic. On the bright side, the ayurvedic massages can be quite relaxing. This also presents opportunities to enjoy some local cuisine. I do enjoy Indian food, but South Indian food tend to be quite spicy and it can be challenging to find food that agrees with my taste buds. I usually eat a lot of non-veg, but here in Kerala, there is so much diversity in vegetarian food that I would happily become a vegetarian.
The mountainous regions of Kerala, such as Idukki district is one my favourite destinations to escape the heat and pollution of cities. The route is scenic and if you are lucky, you might even get to see some wildlife as a lot of Idukki is part of the Western ghats nature reserve and national parks. This is also an ideal location for stargazing as there is minimal light pollution. As a plus, there tends to be less mosquitoes in the mountains.