ALL THINGS BIG AND SMALL 2.0

There's an old Hokkien* ditty that I remember from childhood days. It's surrealistic, if this term can be applied not only to visual art, but to songs and poetry as well. Like Salvador Dali's art, it conjures up images that can only possibly appear in dreams. Like "Alice in Wonderland" , it is nonsensical, and yet profound. When I hear it, it seems to be saying something important to me that lies beyond the words, though I know not exactly what. This photograph of a busker at the Mass Rapid Transit Station in Tampines, Singapore playing the traditional Chinese guitar the Pi-Pa was taken many years ago. He was singing this ditty: The Sky is black, its going to Rain, Grandpa went to dig a Drain, Tortoise carried the Lantern, Snake beat the Drum; they said The Beggar broke wind, and the Tiger was dead * Hokkien, or in Mandarin Fujian are the people of Fujian province, on the South-Eastern coast of China bordering Taiwan. Living in an area with not much arable la...

The sound of an electric jazz guitar playing a jazz standard in the quiet of the night, with all those luscious chords and chord melody sends thrills and chills up and down my spine. The sound of an electric jazz guitar has come to epitomise urban sophistication, cool factor and maybe wealth. Look at all those advertising clips from banks to luxury cars or chic restaurants that use the sound of an electric guitar jazz quartet playing in the background. Look at the popularity of Diana Krall's band which always includes a jazz guitarist. And marvel at how her guitarists Russell Malone and Anthony Wilson so fittingly complement her music. In my view the sound of an electric jazz guitar has a charm and authenticity all it's own. An instrument in it's own right, distinct from the acoustic guitar from which it was derived. Until about 4 years ago, a jazz guitar player who wanted a good carved- top would probably have to buy an American-made Gibson . An L-5 would set you back abo...

More than Char Kway Teow [a messy, greasy plate of fried flat noodles garnished with squid, cockles, Chinese sausage, eggs, chive] and Roti Prata, [ a crispy Indian pancake eaten by dipping it into a Curry]; I miss the Singapore dish called Yong Tofu. Basically Yong Tofu is a dish that uses minced fish meat to be the stuffing for vegetables and items made of tofu. Above, you can see the brown triangular pieces of dried bean curd which has been stuffed with the fish paste. You can also see Chinese bitter gourd, large peppers, white pieces of soft tofu, and fish balls. There are many versions of Yong Tofu, and the number of items can be in the dozens as the newer food stalls become more inventive. Some stalls have their stuffings made of a mixture of fish and pork. Many stalls offer Convolvulus, also known as water spinach, as an item. Another common item is rehydrated cuttle-fish. But I like the simpler, purer versions of days gone by best, like this one from a shop in Telok Kurau cal...

It is an accepted principle that in attempting to build a model of something in the real world, one should have a deep knowledge of the subject that is being modeled. Because domain expertise is crucial for choice of input variables, as well as clear statement of the relationship between the variables, as well as the quantification of the coefficients [parameters] for each equation of the model. However, in recent times, there is some serious study of blackbox approaches to modeling. A blackbox type of model is one where [1] choice of Input need not be restricted to those which are justified to be inputs according to the theoretical principles of the subject to be modeled. [2] A clear statement of the relationship between input variables is not absolutely necessary, instead leaving it to the blackbox to work out the relationship. [3] For [2], non-parametric methods machine-learning methods such as neural nets, fuzzy logic and genetic algorithms are used to classify, detect patterns or ...

*Articles on Economics and Finance are especially perishable. Change is continuous and fast and what you say one day may be irrelevant the next. Putting my thoughts down on this 29th day of September 2006, I will come back and read it one year from now and see how relevant it will be then. As the first baby boomer turns 60 this year, and 78 million more in America born between 1946 and 1964 do so in the next 25 years, will this have an earth-shaking effect on the U.S. economy? As the baby boomers sell their stock market holdings or downgrade to smaller homes to free up cash, investors all the over the world shudder at the possible consequences on the stock market and the real estate market. There is no consensus on how serious this impact will be. Professor Jeremy Siegel of the Wharton School of Business and author of the best seller " The Future for Investors" certainly thinks that we will all suffer a lowering in our standard of living, but street-smart reformed junk bond k...

There are two aspects of American culture that I will never get accustomed to: (1) The practice of separate bills [or checks as they call it] for meals, and (2) The practice of greeting anyone and everyone with ‘How are you doing?’ [Often it becomes a lazy ‘How ya DO-ING as in the sound you would make riding a pogo pole with springs] Lets get (1) out of the way first: I can never understand how Americans can act so calmly, and stone-faced, with no sign of awkwardness or embarrassment whatsoever, when at the end of a meal with a friend [s], they calmly ask the waiter for separate checks. In Asia, this is unheard of, no matter how poor anyone is. Why not, be more gracious, and yet practical as in Asia, by letting one party pay for the meal. The one who wants to do the paying would insist on doing so, while the other would protest most vehemently, but ultimately only one party would pay the bill, with a promise [and insistence] by the other party to reciprocate such an act of graciousness...

Blackbox models of complex situations are tempting. Without the need to specify parameters, and not limited by choice of variables, you can throw in everything including the kitchen sink, and see how the model performs. But in real life, it is not that simple. With every variable that you throw in, you are increasing the complexity of the model exponentially as well as the computational workload. Although there are algorithms for dimension reduction as well as for assessing the significance of an input towards model accuracy, nothing beats a good old human being with expertise in the subject domain, for initial choice of input variables. Let's do an academic exercise for the building of a model that (1) hopefully gives an objective, 'true' valuation of a house. (2) predict the future house price. We will attempt to build our model using a Neural Network, or a hybrid Neural with Genetic Algorithms for the last mile of calculation, to avoid local optima. Any human expert in r...